SherbyNet - /page/wikibook/entry.mu

Micron Document

<!DOCTYPE html>

<title>PolyAnalyst</title>

</head>

PolyAnalyst

</h1>

</header>

/* start https://en.wikipedia.org/ */

.mw-parser-output .infobox-subbox{padding:0;border:none;margin:-3px;width:auto;min-width:100%;font-size:100%;clear:none;float:none;background-color:transparent}.mw-parser-output .infobox-3cols-child{margin:auto}.mw-parser-output .infobox .navbar{font-size:100%}@media screen{html.skin-theme-clientpref-night .mw-parser-output .infobox-full-data:not(.notheme)>div:not(.notheme)[style]{background:#1f1f23!important;color:#f8f9fa}}@media screen and (prefers-color-scheme:dark){html.skin-theme-clientpref-os .mw-parser-output .infobox-full-data:not(.notheme)>div:not(.notheme)[style]{background:#1f1f23!important;color:#f8f9fa}}@media(min-width:640px){body.skin--responsive .mw-parser-output .infobox-table{display:table!important}body.skin--responsive .mw-parser-output .infobox-table>caption{display:table-caption!important}body.skin--responsive .mw-parser-output .infobox-table>tbody{display:table-row-group}body.skin--responsive .mw-parser-output .infobox-table th,body.skin--responsive .mw-parser-output .infobox-table td{padding-left:inherit;padding-right:inherit}}

/* end https://en.wikipedia.org/ */

</style><table class="infobox vevent"><tbody><tr><th colspan="2" class="infobox-above summary">PolyAnalyst</th></tr><tr><td colspan="2" class="infobox-image logo"></td></tr><tr><th scope="row" class="infobox-label" style="white-space: nowrap;"><a href="Programmer" title="Programmer">Developer(s)</a></th><td class="infobox-data">Megaputer Intelligence</td></tr><tr><th scope="row" class="infobox-label" style="white-space: nowrap;">Initial release</th><td class="infobox-data">1994 (1994)<a href="#cite_note-1">[1]</a></td></tr><tr style="display: none;"><td colspan="2" class="infobox-full-data"></td></tr><tr><th scope="row" class="infobox-label" style="white-space: nowrap;"><a href="Software_release_life_cycle" title="Software release life cycle">Stable release</a></th><td class="infobox-data"><div style="margin:0px;">6.5

</div></td></tr><tr style="display:none"><td colspan="2">

</td></tr><tr><th scope="row" class="infobox-label" style="white-space: nowrap;"><a href="Software_categories#Categorization_approaches" title="Software categories">Type</a></th><td class="infobox-data">Data science, artificial intelligence, text mining, predictive analytics</td></tr><tr><th scope="row" class="infobox-label" style="white-space: nowrap;">Website</th><td class="infobox-data"><a rel="nofollow" class="external text" href="https://www.megaputer.com/">www.megaputer.com</a></td></tr></tbody></table>

PolyAnalyst is a <a href="Data_science" title="Data science">data science</a> software platform developed by Megaputer Intelligence that provides an environment for <a href="Text_mining" title="Text mining">text mining</a>, <a href="Data_mining" title="Data mining">data mining</a>, <a href="Machine_learning" title="Machine learning">machine learning</a>, and <a href="Predictive_analytics" title="Predictive analytics">predictive analytics</a>. It is used by Megaputer to build tools with applications to <a href="Health_care" title="Health care">health care</a>, <a href="Business_management" class="mw-redirect" title="Business management">business management</a>, <a href="Insurance" title="Insurance">insurance</a>, and other industries. PolyAnalyst has also been used for <a href="COVID-19_pandemic" title="COVID-19 pandemic">COVID-19</a> forecasting and scientific research.

<div class="mw-heading mw-heading2"><h2 id="Overview">Overview</h2></div>

PolyAnalyst's <a href="Graphical_user_interface" title="Graphical user interface">graphical user interface</a> contains nodes that can be linked into a flowchart to perform an analysis. The software provides nodes for <a href="Data_import" class="mw-redirect" title="Data import">data import</a>, <a href="Data_pre-processing" class="mw-redirect" title="Data pre-processing">data preparation</a>, <a href="Data_visualization" class="mw-redirect" title="Data visualization">data visualization</a>, <a href="Data_analysis" title="Data analysis">data analysis</a>, and <a href="Data_export" class="mw-redirect" title="Data export">data export</a>.<a href="#cite_note-2">[2]</a><a href="#cite_note-3">[3]</a> PolyAnalyst includes features for <a href="Text_clustering" class="mw-redirect" title="Text clustering">text clustering</a>, <a href="Sentiment_analysis" title="Sentiment analysis">sentiment analysis</a>, extraction of facts, <a href="Keyword_extraction" title="Keyword extraction">keywords</a>, and <a href="Entity_extraction" class="mw-redirect" title="Entity extraction">entities</a>, and the creation of <a href="Taxonomy_(general)" class="mw-redirect" title="Taxonomy (general)">taxonomies</a> and <a href="Ontology_(information_science)" title="Ontology (information science)">ontologies</a>. Polyanalyst supports a variety of <a href="Machine_learning" title="Machine learning">machine learning</a> algorithms, as well as nodes for the analysis of <a href="Structured_data" class="mw-redirect" title="Structured data">structured data</a> and the ability to execute code in <a href="Python_(programming_language)" title="Python (programming language)">Python</a> and <a href="R_(programming_language)" title="R (programming language)">R</a>.<a href="#cite_note-:2-4">[4]</a><a href="#cite_note-5">[5]</a> PolyAnalyst also acts as a <a href="Report_generator" title="Report generator">report generator</a>, which allows the result of an analysis to be made viewable by non-analysts.<a href="#cite_note-:4-6">[6]</a> It uses a <a href="Client%E2%80%93server_model" title="Client–server model">client–server model</a> and is licensed under a <a href="Software_as_a_service" title="Software as a service">software as a service</a> model.<a href="#cite_note-:4-6">[6]</a>

<div class="mw-heading mw-heading2"><h2 id="Business_Applications">Business Applications</h2></div>

<div class="mw-heading mw-heading3"><h3 id="Insurance">Insurance</h3></div>

PolyAnalyst was used to build a <a href="Subrogation" title="Subrogation">subrogation</a> prediction tool which determines the likelihood that a claim is subrogatable, and if so, the amount that is expected to be recovered. The tool works by categorizing insurance claims based on whether or not they meet the criteria that are needed for successful subrogation. PolyAnalyst is also used to detect insurance fraud.<a href="#cite_note-7">[7]</a>

<div class="mw-heading mw-heading3"><h3 id="Health_care">Health care</h3></div>

PolyAnalyst is used by pharmaceutical companies to assist in <a href="Pharmacovigilance" title="Pharmacovigilance">pharmacovigilance</a>. The software was used to design a tool that matches descriptions of adverse events to their proper <a href="MedDRA" title="MedDRA">MedDRA</a> codes, determines if side effects are serious or non-serious, and to set up cases for ongoing monitoring if needed.<a href="#cite_note-8">[8]</a> PolyAnalyst has also been applied to <a href="Drug_repositioning" title="Drug repositioning">discover new uses for existing drugs</a> by text mining <a href="ClinicalTrials.gov" title="ClinicalTrials.gov">ClinicalTrials.gov</a>,<a href="#cite_note-9">[9]</a> and to forecast the spread of the <a href="COVID-19_pandemic" title="COVID-19 pandemic">COVID-19</a> virus in the United States and Russia.<a href="#cite_note-10">[10]</a><a href="#cite_note-11">[11]</a>

<div class="mw-heading mw-heading3"><h3 id="Business_management">Business management</h3></div>

PolyAnalyst is used in business management to analyze written customer feedback including product review data, warranty claims, and customer comments.<a href="#cite_note-12">[12]</a> In one case, PolyAnalyst was used to build a tool which helped a company monitor its employees' conversations with customers by rating their messages for factors such as professionalism, empathy, and correctness of response. The company reported to <a href="Forrester_Research" title="Forrester Research">Forrester Research</a> that this tool had saved them $11.8 million annually.<a href="#cite_note-13">[13]</a>

<div class="mw-heading mw-heading2"><h2 id="SKIF_Cyberia_Supercomputer">SKIF Cyberia Supercomputer</h2></div>

PolyAnalyst is run on the <a href="Tomsk_State_University#SKIF_Cyberia_Supercomputer" title="Tomsk State University">SKIF Cyberia Supercomputer</a> at <a href="Tomsk_State_University" title="Tomsk State University">Tomsk State University</a>, where it is made available to Russian researchers through the Center for Collective Use (CCU). Researchers at the center use PolyAnalyst to perform scientific research and to management the operations of their universities.<a href="#cite_note-14">[14]</a> In 2020, researchers at <a href="Vyatka_State_University" title="Vyatka State University">Vyatka State University</a> (in collaboration with the CCU) performed a study in which PolyAnalyst was used to identify and reach out to victims of domestic violence through <a href="Social_media_analytics" title="Social media analytics">social media analysis</a>. The researchers <a href="Web_scraping" title="Web scraping">scraped the web</a> for messages containing descriptions of abuse, and then classified the type of abuse as physical, psychological, economic, or sexual. They also constructed a <a href="Chatbot" title="Chatbot">chatbot</a> to contact the identified victims of abuse and to refer them to specialists based on the type of abuse described in their messages. The data collected in this study was used to create the first ever Russian-language corpus on domestic violence.<a href="#cite_note-15">[15]</a><a href="#cite_note-16">[16]</a>

<div class="mw-heading mw-heading2"><h2 id="References">References</h2></div>

/* start https://en.wikipedia.org/ */

.mw-parser-output .reflist{margin-bottom:0.5em;list-style-type:decimal}@media screen{.mw-parser-output .reflist{font-size:90%}}.mw-parser-output .reflist .references{font-size:100%;margin-bottom:0;list-style-type:inherit}.mw-parser-output .reflist-columns-2{column-width:30em}.mw-parser-output .reflist-columns-3{column-width:25em}.mw-parser-output .reflist-columns{margin-top:0.3em}.mw-parser-output .reflist-columns ol{margin-top:0}.mw-parser-output .reflist-columns li{page-break-inside:avoid;break-inside:avoid-column}.mw-parser-output .reflist-upper-alpha{list-style-type:upper-alpha}.mw-parser-output .reflist-upper-roman{list-style-type:upper-roman}.mw-parser-output .reflist-lower-alpha{list-style-type:lower-alpha}.mw-parser-output .reflist-lower-greek{list-style-type:lower-greek}.mw-parser-output .reflist-lower-roman{list-style-type:lower-roman}

/* end https://en.wikipedia.org/ */

</style><div class="reflist">

/* start https://en.wikipedia.org/ */

.mw-parser-output cite.citation{font-style:inherit;word-wrap:break-word}.mw-parser-output .citation q{quotes:"\"""\"""'""'"}.mw-parser-output .citation:target{background-color:rgba(0,127,255,0.133)}.mw-parser-output .id-lock-free.id-lock-free a{background:url("./mw/Lock-green.svg")right 0.1em center/9px no-repeat}.mw-parser-output .id-lock-limited.id-lock-limited a,.mw-parser-output .id-lock-registration.id-lock-registration a{background:url("./mw/Lock-gray-alt-2.svg")right 0.1em center/9px no-repeat}.mw-parser-output .id-lock-subscription.id-lock-subscription a{background:url("./mw/Lock-red-alt-2.svg")right 0.1em center/9px no-repeat}.mw-parser-output .cs1-ws-icon a{background:url("./mw/Wikisource-logo.svg")right 0.1em center/12px no-repeat}body:not(.skin-timeless):not(.skin-minerva) .mw-parser-output .id-lock-free a,body:not(.skin-timeless):not(.skin-minerva) .mw-parser-output .id-lock-limited a,body:not(.skin-timeless):not(.skin-minerva) .mw-parser-output .id-lock-registration a,body:not(.skin-timeless):not(.skin-minerva) .mw-parser-output .id-lock-subscription a,body:not(.skin-timeless):not(.skin-minerva) .mw-parser-output .cs1-ws-icon a{background-size:contain;padding:0 1em 0 0}.mw-parser-output .cs1-code{color:inherit;background:inherit;border:none;padding:inherit}.mw-parser-output .cs1-hidden-error{display:none;color:var(--color-error,#d33)}.mw-parser-output .cs1-visible-error{color:var(--color-error,#d33)}.mw-parser-output .cs1-maint{display:none;color:#085;margin-left:0.3em}.mw-parser-output .cs1-kern-left{padding-left:0.2em}.mw-parser-output .cs1-kern-right{padding-right:0.2em}.mw-parser-output .citation .mw-selflink{font-weight:inherit}@media screen{.mw-parser-output .cs1-format{font-size:95%}html.skin-theme-clientpref-night .mw-parser-output .cs1-maint{color:#18911f}}@media screen and (prefers-color-scheme:dark){html.skin-theme-clientpref-os .mw-parser-output .cs1-maint{color:#18911f}}

/* end https://en.wikipedia.org/ */

</style><cite id="CITEREFKiselev1994" class="citation journal cs1 cs1-prop-long-vol">Kiselev, Mikhail V. (1994). <a rel="nofollow" class="external text" href="https://www.aaai.org/Papers/Workshops/1994/WS-94-03/WS94-03-021.pdf">"PolyAnalyst - A Machine Dis covery System Inferring Functional Programs"</a> (PDF). AAAI Technical Report. AAAI-94 Workshop on Knowledge Discovery in Databases (WS-94-03). AAAI: 237-249. Retrieved 15 March 2021.</cite>

</li>

<li id="cite_note-2"><a href="#cite_ref-2">^</a> <cite id="CITEREFApicella2000" class="citation news cs1">Apicella, Mario (3 July 2000). <a rel="nofollow" class="external text" href="https://books.google.com/books?id=dz0EAAAAMBAJ&q=polyanalyst&pg=PA47">"PolyAnalyst 4.1 digs through data for gold"</a>. Info World.</cite>

</li>

<li id="cite_note-3"><a href="#cite_ref-3">^</a> <cite id="CITEREFZhangSegall2008" class="citation journal cs1">Zhang, Qingyu; Segall, Richard S. (1 December 2008). <a rel="nofollow" class="external text" href="https://www.worldscientific.com/doi/abs/10.1142/S0219622008003150">"Web mining: a survey of current research, techniques, and software"</a>. International Journal of Information Technology & Decision Making. 7 (4): 683–720. <a href="Doi_(identifier)" class="mw-redirect" title="Doi (identifier)">doi</a>:<a rel="nofollow" class="external text" href="https://doi.org/10.1142%2FS0219622008003150">10.1142/S0219622008003150</a>. <a href="ISSN_(identifier)" class="mw-redirect" title="ISSN (identifier)">ISSN</a> <a rel="nofollow" class="external text" href="https://search.worldcat.org/issn/0219-6220">0219-6220</a>.</cite>

</li>

<li id="cite_note-:2-4"><a href="#cite_ref-:2_4-0">^</a> <cite id="CITEREFZhangSegall2010" class="citation journal cs1">Zhang, Qingyu; Segall, Richard S. (1 January 2010). <a rel="nofollow" class="external text" href="https://doi.org/10.1108/03684921011036835">"Review of data, text and web mining software"</a>. Kybernetes. 39 (4): 625–655. <a href="Doi_(identifier)" class="mw-redirect" title="Doi (identifier)">doi</a>:<a rel="nofollow" class="external text" href="https://doi.org/10.1108%2F03684921011036835">10.1108/03684921011036835</a>. <a href="ISSN_(identifier)" class="mw-redirect" title="ISSN (identifier)">ISSN</a> <a rel="nofollow" class="external text" href="https://search.worldcat.org/issn/0368-492X">0368-492X</a>.</cite>

</li>

<li id="cite_note-5"><a href="#cite_ref-5">^</a> <cite id="CITEREFZhangSegall2009" class="citation cs2">Zhang, Qingyu; Segall, Richard S. (2009), Maimon, Oded; Rokach, Lior (eds.), <a rel="nofollow" class="external text" href="https://doi.org/10.1007/978-0-387-09823-4_65">"Commercial Data Mining Software"</a>, Data Mining and Knowledge Discovery Handbook, Boston, MA: Springer US, pp. 1245–1268, <a href="Bibcode_(identifier)" class="mw-redirect" title="Bibcode (identifier)">Bibcode</a>:<a rel="nofollow" class="external text" href="https://ui.adsabs.harvard.edu/abs/2010dmak.book.1245Z">2010dmak.book.1245Z</a>, <a href="Doi_(identifier)" class="mw-redirect" title="Doi (identifier)">doi</a>:<a rel="nofollow" class="external text" href="https://doi.org/10.1007%2F978-0-387-09823-4_65">10.1007/978-0-387-09823-4_65</a>, <a href="ISBN_(identifier)" class="mw-redirect" title="ISBN (identifier)">ISBN</a> <bdi>978-0-387-09823-4</bdi>, retrieved 3 October 2020</cite>

</li>

<li id="cite_note-:4-6">^ <a href="#cite_ref-:4_6-0">a</a> <a href="#cite_ref-:4_6-1">b</a> <cite id="CITEREFHalper2011" class="citation web cs1">Halper, Fern (2011). <a rel="nofollow" class="external text" href="https://hurwitz.com/dev/wp-content/uploads/2017/09/Hurwitz_Predictive_Analytics_9-27-11.pdf">"Predictive Analytics: The Hurwitz Victory Index Report"</a> (PDF). Hurwitz & Associates. Retrieved 28 September 2020.</cite>

</li>

<li id="cite_note-7"><a href="#cite_ref-7">^</a> <cite id="CITEREFWangYang2009" class="citation journal cs1">Wang, John; Yang, James G.S. (2009). <a rel="nofollow" class="external text" href="http://web.nacva.com/JFIA/Issues/JFIA-2009-1_9.pdf">"Data mining techniques for auditing attest function and fraud detection"</a> (PDF). Journal of Forensic & Investigative Accounting. 1 (1): 1–24.</cite>

</li>

<li id="cite_note-8"><a href="#cite_ref-8">^</a> <cite class="citation web cs1"><a rel="nofollow" class="external text" href="https://www.kmworld.com/Articles/Editorial/Features/Life-sciences-Increasing-speed-to-insight-in-pharma-135864.aspx?pageNum=2">"Life sciences: Increasing speed-to-insight in pharma"</a>. kmworld.com. 7 January 2020. Retrieved 22 September 2020.</cite>

</li>

<li id="cite_note-9"><a href="#cite_ref-9">^</a> <cite id="CITEREFSuSanger2017" class="citation journal cs1">Su, Eric Wen; Sanger, Todd M. (23 March 2017). <a rel="nofollow" class="external text" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5366063">"Systematic drug repositioning through mining adverse event data in ClinicalTrials.gov"</a>. PeerJ. 5: e3154. <a href="Doi_(identifier)" class="mw-redirect" title="Doi (identifier)">doi</a>:<a rel="nofollow" class="external text" href="https://doi.org/10.7717%2Fpeerj.3154">10.7717/peerj.3154</a>. <a href="ISSN_(identifier)" class="mw-redirect" title="ISSN (identifier)">ISSN</a> <a rel="nofollow" class="external text" href="https://search.worldcat.org/issn/2167-8359">2167-8359</a>. <a href="PMC_(identifier)" class="mw-redirect" title="PMC (identifier)">PMC</a> <a rel="nofollow" class="external text" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5366063">5366063</a>. <a href="PMID_(identifier)" class="mw-redirect" title="PMID (identifier)">PMID</a> <a rel="nofollow" class="external text" href="https://pubmed.ncbi.nlm.nih.gov/28348935">28348935</a>.</cite>

</li>

<li id="cite_note-10"><a href="#cite_ref-10">^</a> <cite class="citation web cs1"><a rel="nofollow" class="external text" href="https://www.thegeospatial.in/covid-19-megaputer-provides-interactive-geo-mapto-forecast-peak-of-active-cases-in-us">"COVID-19: Megaputer provides interactive geo-map to forecast peak of active cases in U.S."</a> thegeospatial. 29 April 2020. Retrieved 30 September 2020.</cite>

</li>

<li id="cite_note-11"><a href="#cite_ref-11">^</a> <cite class="citation web cs1 cs1-prop-foreign-lang-source"><a rel="nofollow" class="external text" href="https://www.rbc.ru/technology_and_media/17/05/2020/5ec0f9779a7947731db85cc9">"В России представили модели пика заболеваемости COVID-19 в регионах"</a>. РБК (in Russian). 17 May 2020. Retrieved 24 September 2020.</cite>

</li>

<li id="cite_note-12"><a href="#cite_ref-12">^</a> <cite id="CITEREFRichard_S._SegallQingyu_Zhang" class="citation journal cs1">Richard S. Segall; Qingyu Zhang. "Web Mining of Hotel Customer Survey Data". Systemics, Cybernetics and Informatics. 6 (6): 23–29. <a href="CiteSeerX_(identifier)" class="mw-redirect" title="CiteSeerX (identifier)">CiteSeerX</a> <a rel="nofollow" class="external text" href="https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.455.7659">10.1.1.455.7659</a>.</cite>

</li>

<li id="cite_note-13"><a href="#cite_ref-13">^</a> <cite id="CITEREFEvelson2015" class="citation news cs1">Evelson, Boris (10 November 2015). "Vendor Landscape: Big Data Text Analytics". Forrester.</cite>

</li>

<li id="cite_note-14"><a href="#cite_ref-14">^</a> <cite id="CITEREFредакция" class="citation web cs1 cs1-prop-foreign-lang-source">редакция, Любимая. <a rel="nofollow" class="external text" href="https://obzor.city/news/649847---v-tgu-otkrylsja-centr-kollektivnogo-polzovanija-platformoj-dlja-analitiki-big-data">"В ТГУ открылся Центр коллективного пользования платформой для аналитики big data"</a>. Томский Обзор (in Russian). Retrieved 26 February 2021.</cite>

</li>

<li id="cite_note-15"><a href="#cite_ref-15">^</a> <cite class="citation web cs1"><a rel="nofollow" class="external text" href="https://www.vyatsu.ru/internet-gazeta/uchenyie-vyatgu-sovmestno-s-kompaniey-megap-yuter.html">"Ученые ВятГУ совместно с компанией Мегапьютер Интеллидженс разработали чат-бот для помощи жертвам супружеского насилия - Официальный сайт ВятГУ"</a>. vyatsu.ru. Retrieved 26 February 2021.</cite>

</li>

<li id="cite_note-16"><a href="#cite_ref-16">^</a> <cite class="citation web cs1"><a rel="nofollow" class="external text" href="https://iot.ru/bezopasnost/superkompyuter-pomogaet-nakhodit-v-internete-zhertv-domashnego-nasiliya">"Суперкомпьютер помогает находить в интернете жертв домашнего насилия | iot.ru Новости Интернета вещей"</a>. iot.ru. Retrieved 26 February 2021.</cite>

</li>

</ol></div></div>

<div class="mw-heading mw-heading2"><h2 id="External_links">External links</h2></div>

<ul><li><a rel="nofollow" class="external text" href="https://www.megaputer.com/polyanalyst/">Official website</a></li></ul></div><div><div class="zim-footer">

This article is issued from <a class="external text" title="Last edited on 2025-05-26" href="https://en.wikipedia.org/wiki/?title=PolyAnalyst&oldid=1292386582">Wikipedia</a>. The text is available under <a class="external text" href="https://creativecommons.org/licenses/by-sa/4.0/deed.en">Creative Commons Attribution-Share Alike 4.0</a> unless otherwise noted. Additional terms may apply for the media files.

</div>

</div></div>

</div>

</main>

</div>

</body></html>