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<p style="margin:6pt 0in; -webkit-text-stroke-width:0px; text-align:justify"><span style="font-size:14px"><span style="box-sizing:border-box"><span style="-webkit-font-smoothing:antialiased"><span style="position:relative"><span style="color:#313b3d"><span style="font-family:&quot;Open Sans&quot;, &quot;Helvetica Neue&quot;, sans-serif"><span style="font-style:normal"><span style="font-variant-ligatures:normal"><span style="font-variant-caps:normal"><span style="font-weight:400"><span style="letter-spacing:normal"><span style="orphans:2"><span style="text-transform:none"><span style="white-space:normal"><span style="widows:2"><span style="word-spacing:0px"><span style="background-color:#ffffff"><span style="text-decoration-thickness:initial"><span style="text-decoration-style:initial"><span style="text-decoration-color:initial"><span style="line-height:28px"><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif">1.<strong style="box-sizing:border-box; font-weight:700">&nbsp;<span style="box-sizing:border-box">Carrot&sup2;</span></strong>&nbsp;is an open source search results clustering engine.&nbsp;It can automatically&nbsp;</span></span></span></span><a href="https://en.wikipedia.org/wiki/Cluster_analysis" style="box-sizing:border-box; color:#009dd8; text-decoration:none; appearance:none; outline:0px; font-weight:400" title="Cluster analysis"><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif"><span style="text-decoration:none">cluster</span></span></span></span></span></a><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif">&nbsp;small collections of documents, e.g. search results or document abstracts, into thematic categories. Apart from two specialized search results clustering algorithms, Carrot&sup2; offers ready-to-use components for fetching search results from various sources.</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></p>

<p style="margin:6pt 0in; -webkit-text-stroke-width:0px; text-align:justify"><span style="font-size:14px"><span style="box-sizing:border-box"><span style="-webkit-font-smoothing:antialiased"><span style="position:relative"><span style="color:#313b3d"><span style="font-family:&quot;Open Sans&quot;, &quot;Helvetica Neue&quot;, sans-serif"><span style="font-style:normal"><span style="font-variant-ligatures:normal"><span style="font-variant-caps:normal"><span style="font-weight:400"><span style="letter-spacing:normal"><span style="orphans:2"><span style="text-transform:none"><span style="white-space:normal"><span style="widows:2"><span style="word-spacing:0px"><span style="background-color:#ffffff"><span style="text-decoration-thickness:initial"><span style="text-decoration-style:initial"><span style="text-decoration-color:initial"><span style="line-height:28px"><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif">2.&nbsp;<strong style="box-sizing:border-box; font-weight:700">Chemicalize</strong>&nbsp;is an online platform for chemical calculations, search, and text processing. It is developed and owned by ChemAxon and offers various cheminformatics tools in freemium model: chemical property predictions, structure-based and text-based search, chemical text processing, and checking compounds with respect to national regulations of different countries.</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></p>

<p style="margin:6pt 0in; -webkit-text-stroke-width:0px; text-align:justify"><span style="font-size:14px"><span style="box-sizing:border-box"><span style="-webkit-font-smoothing:antialiased"><span style="position:relative"><span style="color:#313b3d"><span style="font-family:&quot;Open Sans&quot;, &quot;Helvetica Neue&quot;, sans-serif"><span style="font-style:normal"><span style="font-variant-ligatures:normal"><span style="font-variant-caps:normal"><span style="font-weight:400"><span style="letter-spacing:normal"><span style="orphans:2"><span style="text-transform:none"><span style="white-space:normal"><span style="widows:2"><span style="word-spacing:0px"><span style="background-color:#ffffff"><span style="text-decoration-thickness:initial"><span style="text-decoration-style:initial"><span style="text-decoration-color:initial"><span style="line-height:28px"><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif">3.&nbsp;<strong style="box-sizing:border-box; font-weight:700">General Architecture for Text Engineering</strong></span></span></span></span><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif">&nbsp;or&nbsp;<strong style="box-sizing:border-box; font-weight:700">GATE</strong>&nbsp;is a&nbsp;</span></span></span></span><a href="https://en.wikipedia.org/wiki/Java_(programming_language)" style="box-sizing:border-box; color:#009dd8; text-decoration:none; appearance:none; outline:0px; font-weight:400" title="Java (programming language)"><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif"><span style="text-decoration:none">Java</span></span></span></span></span></a><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif">&nbsp;suite of tools developed for scientists, companies, teachers and students for many&nbsp;</span></span></span></span><a href="https://en.wikipedia.org/wiki/Natural_language_processing" style="box-sizing:border-box; color:#009dd8; text-decoration:none; appearance:none; outline:0px; font-weight:400" title="Natural language processing"><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif"><span style="text-decoration:none">natural language processing</span></span></span></span></span></a><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif">&nbsp;tasks, including&nbsp;</span></span></span></span><a href="https://en.wikipedia.org/wiki/Information_extraction" style="box-sizing:border-box; color:#009dd8; text-decoration:none; appearance:none; outline:0px; font-weight:400" title="Information extraction"><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif"><span style="text-decoration:none">information extraction</span></span></span></span></span></a><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif">&nbsp;in many languages. GATE includes an&nbsp;</span></span></span></span><a href="https://en.wikipedia.org/wiki/Information_extraction" style="box-sizing:border-box; color:#009dd8; text-decoration:none; appearance:none; outline:0px; font-weight:400" title="Information extraction"><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif"><span style="text-decoration:none">information extraction</span></span></span></span></span></a><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif">&nbsp;system called&nbsp;<strong style="box-sizing:border-box; font-weight:700">ANNIE</strong>&nbsp;(<strong style="box-sizing:border-box; font-weight:700">A Nearly-New Information Extraction System</strong>) which is a set of modules comprising a&nbsp;</span></span></span></span><a href="https://en.wikipedia.org/wiki/Lexical_analysis" style="box-sizing:border-box; color:#009dd8; text-decoration:none; appearance:none; outline:0px; font-weight:400" title="Lexical analysis"><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif"><span style="text-decoration:none">tokenizer</span></span></span></span></span></a><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif">, a&nbsp;</span></span></span></span><a href="https://en.wikipedia.org/wiki/Gazetteer" style="box-sizing:border-box; color:#009dd8; text-decoration:none; appearance:none; outline:0px; font-weight:400" title="Gazetteer"><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif"><span style="text-decoration:none">gazetteer</span></span></span></span></span></a><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif">, a&nbsp;</span></span></span></span><a href="https://en.wikipedia.org/wiki/Sentence_boundary_disambiguation" style="box-sizing:border-box; color:#009dd8; text-decoration:none; appearance:none; outline:0px; font-weight:400" title="Sentence boundary disambiguation"><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif"><span style="text-decoration:none">sentence splitter</span></span></span></span></span></a><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif">, a&nbsp;</span></span></span></span><a href="https://en.wikipedia.org/wiki/Part-of-speech_tagging" style="box-sizing:border-box; color:#009dd8; text-decoration:none; appearance:none; outline:0px; font-weight:400" title="Part-of-speech tagging"><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif"><span style="text-decoration:none">part of speech tagger</span></span></span></span></span></a><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif">, a&nbsp;</span></span></span></span><a href="https://en.wikipedia.org/wiki/Named_entity_recognition" style="box-sizing:border-box; color:#009dd8; text-decoration:none; appearance:none; outline:0px; font-weight:400" title="Named entity recognition"><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif"><span style="text-decoration:none">named entities</span></span></span></span></span></a><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif">&nbsp;transducer and a&nbsp;co reference&nbsp;tagger. ANNIE can be used as-is to provide basic&nbsp;</span></span></span></span><a href="https://en.wikipedia.org/wiki/Information_extraction" style="box-sizing:border-box; color:#009dd8; text-decoration:none; appearance:none; outline:0px; font-weight:400" title="Information extraction"><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif"><span style="text-decoration:none">information extraction</span></span></span></span></span></a><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif">&nbsp;functionality, or provide a starting point for more specific tasks. Languages currently handled GATE include&nbsp;</span></span></span></span><a href="https://en.wikipedia.org/wiki/English_language" style="box-sizing:border-box; color:#009dd8; text-decoration:none; appearance:none; outline:0px; font-weight:400" title="English language"><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif"><span style="text-decoration:none">English</span></span></span></span></span></a><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif">,&nbsp;</span></span></span></span><a href="https://en.wikipedia.org/wiki/Standard_Chinese" style="box-sizing:border-box; color:#009dd8; text-decoration:none; appearance:none; outline:0px; font-weight:400" title="Standard Chinese"><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif"><span style="text-decoration:none">Chinese</span></span></span></span></span></a><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif">,&nbsp;</span></span></span></span><a href="https://en.wikipedia.org/wiki/Arabic" style="box-sizing:border-box; color:#009dd8; text-decoration:none; appearance:none; outline:0px; font-weight:400" title="Arabic"><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif"><span style="text-decoration:none">Arabic</span></span></span></span></span></a><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif">,&nbsp;</span></span></span></span><a href="https://en.wikipedia.org/wiki/Bulgarian_language" style="box-sizing:border-box; color:#009dd8; text-decoration:none; appearance:none; outline:0px; font-weight:400" title="Bulgarian language"><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif"><span style="text-decoration:none">Bulgarian</span></span></span></span></span></a><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif">,&nbsp;</span></span></span></span><a href="https://en.wikipedia.org/wiki/French_language" style="box-sizing:border-box; color:#009dd8; text-decoration:none; appearance:none; outline:0px; font-weight:400" title="French language"><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif"><span style="text-decoration:none">French</span></span></span></span></span></a><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif">,&nbsp;</span></span></span></span><a href="https://en.wikipedia.org/wiki/German_language" style="box-sizing:border-box; color:#009dd8; text-decoration:none; appearance:none; outline:0px; font-weight:400" title="German language"><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif"><span style="text-decoration:none">German</span></span></span></span></span></a><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif">,&nbsp;</span></span></span></span><a href="https://en.wikipedia.org/wiki/Hindi" style="box-sizing:border-box; color:#009dd8; text-decoration:none; appearance:none; outline:0px; font-weight:400" title="Hindi"><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif"><span style="text-decoration:none">Hindi</span></span></span></span></span></a><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif">,&nbsp;</span></span></span></span><a href="https://en.wikipedia.org/wiki/Italian_language" style="box-sizing:border-box; color:#009dd8; text-decoration:none; appearance:none; outline:0px; font-weight:400" title="Italian language"><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif"><span style="text-decoration:none">Italian</span></span></span></span></span></a><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif">,&nbsp;</span></span></span></span><a href="https://en.wikipedia.org/wiki/Cebuano_language" style="box-sizing:border-box; color:#009dd8; text-decoration:none; appearance:none; outline:0px; font-weight:400" title="Cebuano language"><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif"><span style="text-decoration:none">Cebuano</span></span></span></span></span></a><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif">,&nbsp;</span></span></span></span><a href="https://en.wikipedia.org/wiki/Romanian_language" style="box-sizing:border-box; color:#009dd8; text-decoration:none; appearance:none; outline:0px; font-weight:400" title="Romanian language"><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif"><span style="text-decoration:none">Romanian</span></span></span></span></span></a><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif">,&nbsp;</span></span></span></span><a href="https://en.wikipedia.org/wiki/Russian_language" style="box-sizing:border-box; color:#009dd8; text-decoration:none; appearance:none; outline:0px; font-weight:400" title="Russian language"><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif"><span style="text-decoration:none">Russian</span></span></span></span></span></a><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif">,&nbsp;</span></span></span></span><a href="https://en.wikipedia.org/wiki/Danish_language" style="box-sizing:border-box; color:#009dd8; text-decoration:none; appearance:none; outline:0px; font-weight:400" title="Danish language"><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif"><span style="text-decoration:none">Danish</span></span></span></span></span></a><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif">. GATE generates vast quantities of information including; natural language text, semantic annotations, and ontological information. Sometimes the data itself is the end product of an application but often the information would be more useful if it could be efficiently searched. GATE Mimir provides support for indexing and searching the linguistic and semantic information generated by such applications and allows for querying the information using arbitrary combinations of text, structural information, and SPARQL.</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></p>

<p style="margin:6pt 0in; -webkit-text-stroke-width:0px; text-align:justify"><span style="font-size:14px"><span style="box-sizing:border-box"><span style="-webkit-font-smoothing:antialiased"><span style="position:relative"><span style="color:#313b3d"><span style="font-family:&quot;Open Sans&quot;, &quot;Helvetica Neue&quot;, sans-serif"><span style="font-style:normal"><span style="font-variant-ligatures:normal"><span style="font-variant-caps:normal"><span style="font-weight:400"><span style="letter-spacing:normal"><span style="orphans:2"><span style="text-transform:none"><span style="white-space:normal"><span style="widows:2"><span style="word-spacing:0px"><span style="background-color:#ffffff"><span style="text-decoration-thickness:initial"><span style="text-decoration-style:initial"><span style="text-decoration-color:initial"><span style="line-height:28px"><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif">4.&nbsp;<strong style="box-sizing:border-box; font-weight:700">KNIME</strong>&nbsp;allows users to visually create data flows (or pipelines), selectively execute some or all analysis steps, and later inspect the results, models, and interactive views. KNIME is written in Java and based on&nbsp;</span></span></span></span><a href="https://en.wikipedia.org/wiki/Eclipse_(software)" style="box-sizing:border-box; color:#009dd8; text-decoration:none; appearance:none; outline:0px; font-weight:400" title="Eclipse (software)"><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif"><span style="text-decoration:none">Eclipse</span></span></span></span></span></a><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif">&nbsp;and makes use of its extension mechanism to add plugins providing additional functionality. The core version already includes hundreds of modules for data integration (file I/O, database nodes supporting all common database management systems through JDBC or native connectors: SQLite, SQL Server, MySQL, PostgreSQL, Vertica and H2), data transformation (filter, converter, splitter, combiner, joiner) as well as the commonly used methods of statistics, data mining, analysis and text analytics. Visualization supports with the free Report Designer extension. KNIME workflows can be used as data sets to create report templates that can be exported to document formats like doc, ppt, xls, pdf and others. Other capabilities of KNIME are:</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></p>

<p style="margin:10px 0px 1.2pt 19.2pt; -webkit-text-stroke-width:0px; text-align:justify"><span style="font-size:14px"><span style="box-sizing:border-box"><span style="-webkit-font-smoothing:antialiased"><span style="position:relative"><span style="color:#313b3d"><span style="font-family:&quot;Open Sans&quot;, &quot;Helvetica Neue&quot;, sans-serif"><span style="font-style:normal"><span style="font-variant-ligatures:normal"><span style="font-variant-caps:normal"><span style="font-weight:400"><span style="letter-spacing:normal"><span style="orphans:2"><span style="text-transform:none"><span style="white-space:normal"><span style="widows:2"><span style="word-spacing:0px"><span style="background-color:#ffffff"><span style="text-decoration-thickness:initial"><span style="text-decoration-style:initial"><span style="text-decoration-color:initial"><span style="line-height:28px"><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif">1. KNIMEs core-architecture allows processing of large data volumes that are only limited by the available hard disk space (not limited to the available RAM). E.g. KNIME allows analysis of 300 million customer addresses, 20 million cell images and 10 million molecular structures.</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></p>

<p style="margin:10px 0px 1.2pt 19.2pt; -webkit-text-stroke-width:0px; text-align:justify"><span style="font-size:14px"><span style="box-sizing:border-box"><span style="-webkit-font-smoothing:antialiased"><span style="position:relative"><span style="color:#313b3d"><span style="font-family:&quot;Open Sans&quot;, &quot;Helvetica Neue&quot;, sans-serif"><span style="font-style:normal"><span style="font-variant-ligatures:normal"><span style="font-variant-caps:normal"><span style="font-weight:400"><span style="letter-spacing:normal"><span style="orphans:2"><span style="text-transform:none"><span style="white-space:normal"><span style="widows:2"><span style="word-spacing:0px"><span style="background-color:#ffffff"><span style="text-decoration-thickness:initial"><span style="text-decoration-style:initial"><span style="text-decoration-color:initial"><span style="line-height:28px"><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif">2. Additional plugins allows the integration of methods for&nbsp;</span></span></span></span><a href="https://en.wikipedia.org/wiki/Text_mining" style="box-sizing:border-box; color:#009dd8; text-decoration:none; appearance:none; outline:0px; font-weight:400" title="Text mining"><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif"><span style="text-decoration:none">Text mining</span></span></span></span></span></a><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif">, Image mining, as well as time series analysis.</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></p>

<p style="margin:6pt 0in; -webkit-text-stroke-width:0px; text-align:justify"><span style="font-size:14px"><span style="box-sizing:border-box"><span style="-webkit-font-smoothing:antialiased"><span style="position:relative"><span style="color:#313b3d"><span style="font-family:&quot;Open Sans&quot;, &quot;Helvetica Neue&quot;, sans-serif"><span style="font-style:normal"><span style="font-variant-ligatures:normal"><span style="font-variant-caps:normal"><span style="font-weight:400"><span style="letter-spacing:normal"><span style="orphans:2"><span style="text-transform:none"><span style="white-space:normal"><span style="widows:2"><span style="word-spacing:0px"><span style="background-color:#ffffff"><span style="text-decoration-thickness:initial"><span style="text-decoration-style:initial"><span style="text-decoration-color:initial"><span style="line-height:28px"><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif">5.&nbsp;<strong style="box-sizing:border-box; font-weight:700">Massive Online Analysis:&nbsp;</strong>MOA allows users to build and run experiments of machine learning or data mining on evolving data streams. It includes a set of learners and stream generators that can be used from the Graphical User Interface (GUI), the command-line, and the Java API. MOA contains several collections of machine learning algorithms.</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></p>

<p style="margin:6pt 0in; -webkit-text-stroke-width:0px; text-align:justify"><span style="font-size:14px"><span style="box-sizing:border-box"><span style="-webkit-font-smoothing:antialiased"><span style="position:relative"><span style="color:#313b3d"><span style="font-family:&quot;Open Sans&quot;, &quot;Helvetica Neue&quot;, sans-serif"><span style="font-style:normal"><span style="font-variant-ligatures:normal"><span style="font-variant-caps:normal"><span style="font-weight:400"><span style="letter-spacing:normal"><span style="orphans:2"><span style="text-transform:none"><span style="white-space:normal"><span style="widows:2"><span style="word-spacing:0px"><span style="background-color:#ffffff"><span style="text-decoration-thickness:initial"><span style="text-decoration-style:initial"><span style="text-decoration-color:initial"><span style="line-height:28px"><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif">6.&nbsp;<strong style="box-sizing:border-box; font-weight:700">MLPACK (C++ library</strong>): Mlpack is a machine learning software library for C++, built on top of the Armadillo library. Mlpack has an emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C++ language features to provide maximum performance and maximum flexibility for expert users. Its intended target users are scientists and engineers.</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></p>

<p style="margin:6pt 0in; -webkit-text-stroke-width:0px; text-align:justify"><span style="font-size:14px"><span style="box-sizing:border-box"><span style="-webkit-font-smoothing:antialiased"><span style="position:relative"><span style="color:#313b3d"><span style="font-family:&quot;Open Sans&quot;, &quot;Helvetica Neue&quot;, sans-serif"><span style="font-style:normal"><span style="font-variant-ligatures:normal"><span style="font-variant-caps:normal"><span style="font-weight:400"><span style="letter-spacing:normal"><span style="orphans:2"><span style="text-transform:none"><span style="white-space:normal"><span style="widows:2"><span style="word-spacing:0px"><span style="background-color:#ffffff"><span style="text-decoration-thickness:initial"><span style="text-decoration-style:initial"><span style="text-decoration-color:initial"><span style="line-height:28px"><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif">7<strong style="box-sizing:border-box; font-weight:700">. The Natural Language Toolkit</strong>, or more commonly NLTK, is a suite of libraries and programs for symbolic and statistical natural language processing (NLP) for English written in the Python programming language. NLTK is intended to support research and teaching in NLP or closely related areas, including empirical linguistics, cognitive science, artificial intelligence, information retrieval, and machine learning.</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></p>

<p style="margin:6pt 0in; -webkit-text-stroke-width:0px; text-align:justify"><span style="font-size:14px"><span style="box-sizing:border-box"><span style="-webkit-font-smoothing:antialiased"><span style="position:relative"><span style="color:#313b3d"><span style="font-family:&quot;Open Sans&quot;, &quot;Helvetica Neue&quot;, sans-serif"><span style="font-style:normal"><span style="font-variant-ligatures:normal"><span style="font-variant-caps:normal"><span style="font-weight:400"><span style="letter-spacing:normal"><span style="orphans:2"><span style="text-transform:none"><span style="white-space:normal"><span style="widows:2"><span style="word-spacing:0px"><span style="background-color:#ffffff"><span style="text-decoration-thickness:initial"><span style="text-decoration-style:initial"><span style="text-decoration-color:initial"><span style="line-height:28px"><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif">8.&nbsp;<strong style="box-sizing:border-box; font-weight:700">OpenNN</strong>&nbsp;(Open Neural Networks Library) is a software library written in the C++ programming language which implements neural networks. The software implements any number of layers of non-linear processing units for supervised learning. This deep architecture allows the design of neural networks with universal approximation properties. Additionally, it allows multiprocessing programming by means of OpenMP, in order to increase computer performance.</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></p>

<p style="margin:6pt 0in; -webkit-text-stroke-width:0px; text-align:justify"><span style="font-size:14px"><span style="box-sizing:border-box"><span style="-webkit-font-smoothing:antialiased"><span style="position:relative"><span style="color:#313b3d"><span style="font-family:&quot;Open Sans&quot;, &quot;Helvetica Neue&quot;, sans-serif"><span style="font-style:normal"><span style="font-variant-ligatures:normal"><span style="font-variant-caps:normal"><span style="font-weight:400"><span style="letter-spacing:normal"><span style="orphans:2"><span style="text-transform:none"><span style="white-space:normal"><span style="widows:2"><span style="word-spacing:0px"><span style="background-color:#ffffff"><span style="text-decoration-thickness:initial"><span style="text-decoration-style:initial"><span style="text-decoration-color:initial"><span style="line-height:28px"><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif">9.&nbsp;<strong style="box-sizing:border-box; font-weight:700">Torch&nbsp;</strong>Torch is an open source machine learning library, a scientific computingframework, and a script language based on the Lua programming language. It provides a wide range of algorithms for deep learning, and uses the scripting language is used by the Facebook AI Research Group, IBM, Yandex and the Idiap Research Institute. Torch has been extended for use on Android and iOS. It has been used to build hardware implementations for data flows like those found in neural networks.</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></p>

<p style="margin:6pt 0in; -webkit-text-stroke-width:0px; text-align:justify"><span style="font-size:14px"><span style="box-sizing:border-box"><span style="-webkit-font-smoothing:antialiased"><span style="position:relative"><span style="color:#313b3d"><span style="font-family:&quot;Open Sans&quot;, &quot;Helvetica Neue&quot;, sans-serif"><span style="font-style:normal"><span style="font-variant-ligatures:normal"><span style="font-variant-caps:normal"><span style="font-weight:400"><span style="letter-spacing:normal"><span style="orphans:2"><span style="text-transform:none"><span style="white-space:normal"><span style="widows:2"><span style="word-spacing:0px"><span style="background-color:#ffffff"><span style="text-decoration-thickness:initial"><span style="text-decoration-style:initial"><span style="text-decoration-color:initial"><span style="line-height:28px"><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif">10.&nbsp;<strong style="box-sizing:border-box; font-weight:700">IBM SPSS Modeler</strong>&nbsp;is a data mining and text analytics software application from IBM. It is used to build predictive models and conduct other analytic tasks. It has a visual interface which allows users to leverage statistical and data mining algorithms without programming. One of its main aims from the outset was to get rid of unnecessary complexity in data transformations, and to make complex predictive models very easy to use. SPSS Modeler has been used in these and other industries:</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></p>

<p style="margin:6pt 0in; -webkit-text-stroke-width:0px; text-align:justify"><span style="font-size:14px"><span style="box-sizing:border-box"><span style="-webkit-font-smoothing:antialiased"><span style="position:relative"><span style="color:#313b3d"><span style="font-family:&quot;Open Sans&quot;, &quot;Helvetica Neue&quot;, sans-serif"><span style="font-style:normal"><span style="font-variant-ligatures:normal"><span style="font-variant-caps:normal"><span style="font-weight:400"><span style="letter-spacing:normal"><span style="orphans:2"><span style="text-transform:none"><span style="white-space:normal"><span style="widows:2"><span style="word-spacing:0px"><span style="background-color:#ffffff"><span style="text-decoration-thickness:initial"><span style="text-decoration-style:initial"><span style="text-decoration-color:initial"><span style="line-height:28px"><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif">&bull;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Customer analytics and Customer relationship management (CRM)</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></p>

<p style="margin:6pt 0in; -webkit-text-stroke-width:0px; text-align:justify"><span style="font-size:14px"><span style="box-sizing:border-box"><span style="-webkit-font-smoothing:antialiased"><span style="position:relative"><span style="color:#313b3d"><span style="font-family:&quot;Open Sans&quot;, &quot;Helvetica Neue&quot;, sans-serif"><span style="font-style:normal"><span style="font-variant-ligatures:normal"><span style="font-variant-caps:normal"><span style="font-weight:400"><span style="letter-spacing:normal"><span style="orphans:2"><span style="text-transform:none"><span style="white-space:normal"><span style="widows:2"><span style="word-spacing:0px"><span style="background-color:#ffffff"><span style="text-decoration-thickness:initial"><span style="text-decoration-style:initial"><span style="text-decoration-color:initial"><span style="line-height:28px"><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif">&bull;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Fraud detection and prevention</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></p>

<p style="margin:6pt 0in; -webkit-text-stroke-width:0px; text-align:justify"><span style="font-size:14px"><span style="box-sizing:border-box"><span style="-webkit-font-smoothing:antialiased"><span style="position:relative"><span style="color:#313b3d"><span style="font-family:&quot;Open Sans&quot;, &quot;Helvetica Neue&quot;, sans-serif"><span style="font-style:normal"><span style="font-variant-ligatures:normal"><span style="font-variant-caps:normal"><span style="font-weight:400"><span style="letter-spacing:normal"><span style="orphans:2"><span style="text-transform:none"><span style="white-space:normal"><span style="widows:2"><span style="word-spacing:0px"><span style="background-color:#ffffff"><span style="text-decoration-thickness:initial"><span style="text-decoration-style:initial"><span style="text-decoration-color:initial"><span style="line-height:28px"><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif">&bull;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Optimizing insurance claims</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></p>

<p style="margin:6pt 0in; -webkit-text-stroke-width:0px; text-align:justify"><span style="font-size:14px"><span style="box-sizing:border-box"><span style="-webkit-font-smoothing:antialiased"><span style="position:relative"><span style="color:#313b3d"><span style="font-family:&quot;Open Sans&quot;, &quot;Helvetica Neue&quot;, sans-serif"><span style="font-style:normal"><span style="font-variant-ligatures:normal"><span style="font-variant-caps:normal"><span style="font-weight:400"><span style="letter-spacing:normal"><span style="orphans:2"><span style="text-transform:none"><span style="white-space:normal"><span style="widows:2"><span style="word-spacing:0px"><span style="background-color:#ffffff"><span style="text-decoration-thickness:initial"><span style="text-decoration-style:initial"><span style="text-decoration-color:initial"><span style="line-height:28px"><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif">&bull;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Risk management</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></p>

<p style="margin:6pt 0in; -webkit-text-stroke-width:0px; text-align:justify"><span style="font-size:14px"><span style="box-sizing:border-box"><span style="-webkit-font-smoothing:antialiased"><span style="position:relative"><span style="color:#313b3d"><span style="font-family:&quot;Open Sans&quot;, &quot;Helvetica Neue&quot;, sans-serif"><span style="font-style:normal"><span style="font-variant-ligatures:normal"><span style="font-variant-caps:normal"><span style="font-weight:400"><span style="letter-spacing:normal"><span style="orphans:2"><span style="text-transform:none"><span style="white-space:normal"><span style="widows:2"><span style="word-spacing:0px"><span style="background-color:#ffffff"><span style="text-decoration-thickness:initial"><span style="text-decoration-style:initial"><span style="text-decoration-color:initial"><span style="line-height:28px"><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif">&bull;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Manufacturing quality improvement</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></p>

<p style="margin:6pt 0in; -webkit-text-stroke-width:0px; text-align:justify"><span style="font-size:14px"><span style="box-sizing:border-box"><span style="-webkit-font-smoothing:antialiased"><span style="position:relative"><span style="color:#313b3d"><span style="font-family:&quot;Open Sans&quot;, &quot;Helvetica Neue&quot;, sans-serif"><span style="font-style:normal"><span style="font-variant-ligatures:normal"><span style="font-variant-caps:normal"><span style="font-weight:400"><span style="letter-spacing:normal"><span style="orphans:2"><span style="text-transform:none"><span style="white-space:normal"><span style="widows:2"><span style="word-spacing:0px"><span style="background-color:#ffffff"><span style="text-decoration-thickness:initial"><span style="text-decoration-style:initial"><span style="text-decoration-color:initial"><span style="line-height:28px"><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif">&bull;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Healthcare quality improvement</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></p>

<p style="margin:6pt 0in; -webkit-text-stroke-width:0px; text-align:justify"><span style="font-size:14px"><span style="box-sizing:border-box"><span style="-webkit-font-smoothing:antialiased"><span style="position:relative"><span style="color:#313b3d"><span style="font-family:&quot;Open Sans&quot;, &quot;Helvetica Neue&quot;, sans-serif"><span style="font-style:normal"><span style="font-variant-ligatures:normal"><span style="font-variant-caps:normal"><span style="font-weight:400"><span style="letter-spacing:normal"><span style="orphans:2"><span style="text-transform:none"><span style="white-space:normal"><span style="widows:2"><span style="word-spacing:0px"><span style="background-color:#ffffff"><span style="text-decoration-thickness:initial"><span style="text-decoration-style:initial"><span style="text-decoration-color:initial"><span style="line-height:28px"><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif">&bull;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Forecasting demand or sales</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></p>

<p style="margin:6pt 0in; -webkit-text-stroke-width:0px; text-align:justify"><span style="font-size:14px"><span style="box-sizing:border-box"><span style="-webkit-font-smoothing:antialiased"><span style="position:relative"><span style="color:#313b3d"><span style="font-family:&quot;Open Sans&quot;, &quot;Helvetica Neue&quot;, sans-serif"><span style="font-style:normal"><span style="font-variant-ligatures:normal"><span style="font-variant-caps:normal"><span style="font-weight:400"><span style="letter-spacing:normal"><span style="orphans:2"><span style="text-transform:none"><span style="white-space:normal"><span style="widows:2"><span style="word-spacing:0px"><span style="background-color:#ffffff"><span style="text-decoration-thickness:initial"><span style="text-decoration-style:initial"><span style="text-decoration-color:initial"><span style="line-height:28px"><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif">&bull;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Law enforcement and border security</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></p>

<p style="margin:6pt 0in; -webkit-text-stroke-width:0px; text-align:justify"><span style="font-size:14px"><span style="box-sizing:border-box"><span style="-webkit-font-smoothing:antialiased"><span style="position:relative"><span style="color:#313b3d"><span style="font-family:&quot;Open Sans&quot;, &quot;Helvetica Neue&quot;, sans-serif"><span style="font-style:normal"><span style="font-variant-ligatures:normal"><span style="font-variant-caps:normal"><span style="font-weight:400"><span style="letter-spacing:normal"><span style="orphans:2"><span style="text-transform:none"><span style="white-space:normal"><span style="widows:2"><span style="word-spacing:0px"><span style="background-color:#ffffff"><span style="text-decoration-thickness:initial"><span style="text-decoration-style:initial"><span style="text-decoration-color:initial"><span style="line-height:28px"><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif">&bull;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Education</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></p>

<p style="margin:6pt 0in; -webkit-text-stroke-width:0px; text-align:justify"><span style="font-size:14px"><span style="box-sizing:border-box"><span style="-webkit-font-smoothing:antialiased"><span style="position:relative"><span style="color:#313b3d"><span style="font-family:&quot;Open Sans&quot;, &quot;Helvetica Neue&quot;, sans-serif"><span style="font-style:normal"><span style="font-variant-ligatures:normal"><span style="font-variant-caps:normal"><span style="font-weight:400"><span style="letter-spacing:normal"><span style="orphans:2"><span style="text-transform:none"><span style="white-space:normal"><span style="widows:2"><span style="word-spacing:0px"><span style="background-color:#ffffff"><span style="text-decoration-thickness:initial"><span style="text-decoration-style:initial"><span style="text-decoration-color:initial"><span style="line-height:28px"><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif">&bull;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Telecommunications</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></p>

<p style="margin:6pt 0in; -webkit-text-stroke-width:0px; text-align:justify"><span style="font-size:14px"><span style="box-sizing:border-box"><span style="-webkit-font-smoothing:antialiased"><span style="position:relative"><span style="color:#313b3d"><span style="font-family:&quot;Open Sans&quot;, &quot;Helvetica Neue&quot;, sans-serif"><span style="font-style:normal"><span style="font-variant-ligatures:normal"><span style="font-variant-caps:normal"><span style="font-weight:400"><span style="letter-spacing:normal"><span style="orphans:2"><span style="text-transform:none"><span style="white-space:normal"><span style="widows:2"><span style="word-spacing:0px"><span style="background-color:#ffffff"><span style="text-decoration-thickness:initial"><span style="text-decoration-style:initial"><span style="text-decoration-color:initial"><span style="line-height:28px"><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif">&bull;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Entertainment: e.g., predicting movie box office receipts</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></p>

<p style="margin:6pt 0in; -webkit-text-stroke-width:0px; text-align:justify"><span style="font-size:14px"><span style="box-sizing:border-box"><span style="-webkit-font-smoothing:antialiased"><span style="position:relative"><span style="color:#313b3d"><span style="font-family:&quot;Open Sans&quot;, &quot;Helvetica Neue&quot;, sans-serif"><span style="font-style:normal"><span style="font-variant-ligatures:normal"><span style="font-variant-caps:normal"><span style="font-weight:400"><span style="letter-spacing:normal"><span style="orphans:2"><span style="text-transform:none"><span style="white-space:normal"><span style="widows:2"><span style="word-spacing:0px"><span style="background-color:#ffffff"><span style="text-decoration-thickness:initial"><span style="text-decoration-style:initial"><span style="text-decoration-color:initial"><span style="line-height:28px"><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif">11.&nbsp;<strong style="box-sizing:border-box; font-weight:700">Clarabridge&nbsp;</strong>offers software as a service product for sentiment analysis and text analytics to automatically collect categorize and report on structured data and unstructured data. The data typically used for analysis comes from social media (such as Facebook, Twitter, or review sites), call center notes, email, chats, and surveys. Using natural language processingand other patented technology; the software is used in voice of the customer, customer experience management and customer feedback programs.</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></p>

<p style="margin:6pt 0in; -webkit-text-stroke-width:0px; text-align:justify"><span style="font-size:14px"><span style="box-sizing:border-box"><span style="-webkit-font-smoothing:antialiased"><span style="position:relative"><span style="color:#313b3d"><span style="font-family:&quot;Open Sans&quot;, &quot;Helvetica Neue&quot;, sans-serif"><span style="font-style:normal"><span style="font-variant-ligatures:normal"><span style="font-variant-caps:normal"><span style="font-weight:400"><span style="letter-spacing:normal"><span style="orphans:2"><span style="text-transform:none"><span style="white-space:normal"><span style="widows:2"><span style="word-spacing:0px"><span style="background-color:#ffffff"><span style="text-decoration-thickness:initial"><span style="text-decoration-style:initial"><span style="text-decoration-color:initial"><span style="line-height:28px"><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif">12<strong style="box-sizing:border-box; font-weight:700">. LIONsolver</strong>&nbsp;can be used to build models, visualize them, and improve business and engineering processes. It is a tool for decision making based on data and quantitative models, it can be connected to most databases and external programs, it is fully integrated with the Grapheur business intelligence software and intended for more advanced users, interested in designing business logic and processes and not only in simple analytics and visualization tasks.</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></p>

<p style="margin:6pt 0in; -webkit-text-stroke-width:0px; text-align:justify"><span style="font-size:14px"><span style="box-sizing:border-box"><span style="-webkit-font-smoothing:antialiased"><span style="position:relative"><span style="color:#313b3d"><span style="font-family:&quot;Open Sans&quot;, &quot;Helvetica Neue&quot;, sans-serif"><span style="font-style:normal"><span style="font-variant-ligatures:normal"><span style="font-variant-caps:normal"><span style="font-weight:400"><span style="letter-spacing:normal"><span style="orphans:2"><span style="text-transform:none"><span style="white-space:normal"><span style="widows:2"><span style="word-spacing:0px"><span style="background-color:#ffffff"><span style="text-decoration-thickness:initial"><span style="text-decoration-style:initial"><span style="text-decoration-color:initial"><span style="line-height:28px"><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif">The software architecture of LIONsolver permits interactive multi-objective optimization, with a user interface for visualizing the results and facilitating the solution analysis and decision making process. The architecture allows for problem-specific extensions, and it is applicable as a post-processing tool for all optimization schemes with a number of different potential solutions. When the architecture is tightly coupled to a specific problem-solving or optimization method, effective interactive schemes where the final decision maker is in the loop can be developed.</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></p>

<p style="margin:6pt 0in; -webkit-text-stroke-width:0px; text-align:justify"><span style="font-size:14px"><span style="box-sizing:border-box"><span style="-webkit-font-smoothing:antialiased"><span style="position:relative"><span style="color:#313b3d"><span style="font-family:&quot;Open Sans&quot;, &quot;Helvetica Neue&quot;, sans-serif"><span style="font-style:normal"><span style="font-variant-ligatures:normal"><span style="font-variant-caps:normal"><span style="font-weight:400"><span style="letter-spacing:normal"><span style="orphans:2"><span style="text-transform:none"><span style="white-space:normal"><span style="widows:2"><span style="word-spacing:0px"><span style="background-color:#ffffff"><span style="text-decoration-thickness:initial"><span style="text-decoration-style:initial"><span style="text-decoration-color:initial"><span style="line-height:28px"><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif">13<strong style="box-sizing:border-box; font-weight:700">. Microsoft SQL Server Analysis Services, SSAS</strong>, is an online analytical processing (OLAP) and data mining tool in Microsoft SQL Server. SSAS is used as a tool by organizations to analyze and make sense of information possibly spread out across multiple databases, or in disparate tables or files. Microsoft has included a number of services in SQL Server related to business intelligence and data warehousing. These services include Integration Services, Reporting Services and Analysis Services. Analysis Services includes a group of OLAP and data mining capabilities and comes in two flavors &ndash; Multidimensional and Tabular.</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></p>

<p style="margin:6pt 0in; -webkit-text-stroke-width:0px; text-align:justify"><span style="font-size:14px"><span style="box-sizing:border-box"><span style="-webkit-font-smoothing:antialiased"><span style="position:relative"><span style="color:#313b3d"><span style="font-family:&quot;Open Sans&quot;, &quot;Helvetica Neue&quot;, sans-serif"><span style="font-style:normal"><span style="font-variant-ligatures:normal"><span style="font-variant-caps:normal"><span style="font-weight:400"><span style="letter-spacing:normal"><span style="orphans:2"><span style="text-transform:none"><span style="white-space:normal"><span style="widows:2"><span style="word-spacing:0px"><span style="background-color:#ffffff"><span style="text-decoration-thickness:initial"><span style="text-decoration-style:initial"><span style="text-decoration-color:initial"><span style="line-height:28px"><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif">14.&nbsp;<strong style="box-sizing:border-box; font-weight:700">pSeven</strong>&nbsp;is a design space exploration software platform developed by DATADVANCE, extending design, simulation and analysis capabilities and assisting in smarter and faster design decisions. It provides a seamless integration with third party CAD and CAE software tools, powerful multi-objectiveand robust optimization algorithms, data analysis and uncertainty quantification tools. pSeven&rsquo;s application areas are different industries such as aerospace, automotive, energy, electronics, biomedical and others. Application examples are:</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></p>

<p style="margin:6pt 0in; -webkit-text-stroke-width:0px; text-align:justify"><span style="font-size:14px"><span style="box-sizing:border-box"><span style="-webkit-font-smoothing:antialiased"><span style="position:relative"><span style="color:#313b3d"><span style="font-family:&quot;Open Sans&quot;, &quot;Helvetica Neue&quot;, sans-serif"><span style="font-style:normal"><span style="font-variant-ligatures:normal"><span style="font-variant-caps:normal"><span style="font-weight:400"><span style="letter-spacing:normal"><span style="orphans:2"><span style="text-transform:none"><span style="white-space:normal"><span style="widows:2"><span style="word-spacing:0px"><span style="background-color:#ffffff"><span style="text-decoration-thickness:initial"><span style="text-decoration-style:initial"><span style="text-decoration-color:initial"><span style="line-height:28px"><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif">&bull;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Multidisciplinary and multi-objective optimization of an aircraft family</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></p>

<p style="margin:6pt 0in 6pt 0.5in; -webkit-text-stroke-width:0px; text-align:justify"><span style="font-size:14px"><span style="box-sizing:border-box"><span style="-webkit-font-smoothing:antialiased"><span style="position:relative"><span style="color:#313b3d"><span style="font-family:&quot;Open Sans&quot;, &quot;Helvetica Neue&quot;, sans-serif"><span style="font-style:normal"><span style="font-variant-ligatures:normal"><span style="font-variant-caps:normal"><span style="font-weight:400"><span style="letter-spacing:normal"><span style="orphans:2"><span style="text-transform:none"><span style="white-space:normal"><span style="widows:2"><span style="word-spacing:0px"><span style="background-color:#ffffff"><span style="text-decoration-thickness:initial"><span style="text-decoration-style:initial"><span style="text-decoration-color:initial"><span style="line-height:28px"><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif">&nbsp;&nbsp;&bull;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Sizing of composite structures in order to reduce their mass subject to various mechanical and manufacturing constraints</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></p>

<p style="margin:6pt 0in 6pt 0.5in; -webkit-text-stroke-width:0px; text-align:justify"><span style="font-size:14px"><span style="box-sizing:border-box"><span style="-webkit-font-smoothing:antialiased"><span style="position:relative"><span style="color:#313b3d"><span style="font-family:&quot;Open Sans&quot;, &quot;Helvetica Neue&quot;, sans-serif"><span style="font-style:normal"><span style="font-variant-ligatures:normal"><span style="font-variant-caps:normal"><span style="font-weight:400"><span style="letter-spacing:normal"><span style="orphans:2"><span style="text-transform:none"><span style="white-space:normal"><span style="widows:2"><span style="word-spacing:0px"><span style="background-color:#ffffff"><span style="text-decoration-thickness:initial"><span style="text-decoration-style:initial"><span style="text-decoration-color:initial"><span style="line-height:28px"><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif">&bull;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Construction of quick and accurate behavioral models (surrogate models) in order to enable efficient and secure exchange of models across Extended Enterprise</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></p>

<p style="margin:6pt 0in 6pt 0.5in; -webkit-text-stroke-width:0px; text-align:justify"><span style="font-size:14px"><span style="box-sizing:border-box"><span style="-webkit-font-smoothing:antialiased"><span style="position:relative"><span style="color:#313b3d"><span style="font-family:&quot;Open Sans&quot;, &quot;Helvetica Neue&quot;, sans-serif"><span style="font-style:normal"><span style="font-variant-ligatures:normal"><span style="font-variant-caps:normal"><span style="font-weight:400"><span style="letter-spacing:normal"><span style="orphans:2"><span style="text-transform:none"><span style="white-space:normal"><span style="widows:2"><span style="word-spacing:0px"><span style="background-color:#ffffff"><span style="text-decoration-thickness:initial"><span style="text-decoration-style:initial"><span style="text-decoration-color:initial"><span style="line-height:28px"><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif">&bull;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Optimization of the gas path of the steam turbine in order to improve overall turbine efficiency</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></p>

<p style="margin:6pt 0in; -webkit-text-stroke-width:0px; text-align:justify"><span style="font-size:14px"><span style="box-sizing:border-box"><span style="-webkit-font-smoothing:antialiased"><span style="position:relative"><span style="color:#313b3d"><span style="font-family:&quot;Open Sans&quot;, &quot;Helvetica Neue&quot;, sans-serif"><span style="font-style:normal"><span style="font-variant-ligatures:normal"><span style="font-variant-caps:normal"><span style="font-weight:400"><span style="letter-spacing:normal"><span style="orphans:2"><span style="text-transform:none"><span style="white-space:normal"><span style="widows:2"><span style="word-spacing:0px"><span style="background-color:#ffffff"><span style="text-decoration-thickness:initial"><span style="text-decoration-style:initial"><span style="text-decoration-color:initial"><span style="line-height:28px"><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif">&bull;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Optimization of layered composite armor in order to reduce its weight</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></p>

<p style="margin:6pt 0in; -webkit-text-stroke-width:0px; text-align:justify"><span style="font-size:14px"><span style="box-sizing:border-box"><span style="-webkit-font-smoothing:antialiased"><span style="position:relative"><span style="color:#313b3d"><span style="font-family:&quot;Open Sans&quot;, &quot;Helvetica Neue&quot;, sans-serif"><span style="font-style:normal"><span style="font-variant-ligatures:normal"><span style="font-variant-caps:normal"><span style="font-weight:400"><span style="letter-spacing:normal"><span style="orphans:2"><span style="text-transform:none"><span style="white-space:normal"><span style="widows:2"><span style="word-spacing:0px"><span style="background-color:#ffffff"><span style="text-decoration-thickness:initial"><span style="text-decoration-style:initial"><span style="text-decoration-color:initial"><span style="line-height:28px"><span style="font-size:12pt"><span style="box-sizing:border-box"><span style="line-height:32px"><span style="font-family:&quot;Times New Roman&quot;, serif">15.&nbsp;<strong style="box-sizing:border-box; font-weight:700">RapidMiner</strong>&nbsp;is a data science software platform developed by the company of the same name that provides an integrated environment for data preparation, machine learning, deep learning, text mining, and predictive analytics. It is used for business and commercial applications as well as for research, education, training, rapid prototyping, and application development and supports all steps of the machine learning process including data preparation, results visualization, model validation and optimization.</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></p>
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