{"id":"https://openalex.org/W2783091141","doi":"https://doi.org/10.23919/fruct.2017.8250181","title":"Fast and modular regularized topic modelling","display_name":"Fast and modular regularized topic modelling","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2783091141","doi":"https://doi.org/10.23919/fruct.2017.8250181","mag":"2783091141"},"language":"en","primary_location":{"id":"doi:10.23919/fruct.2017.8250181","is_oa":false,"landing_page_url":"https://doi.org/10.23919/fruct.2017.8250181","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 21st Conference of Open Innovations Association (FRUCT)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doaj.org/article/858783fca77940a0aa5594c12de25c65","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061866972","display_name":"Denis Kochedykov","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Denis Kochedykov","raw_affiliation_strings":["J.P. Morgan, New York, USA"],"affiliations":[{"raw_affiliation_string":"J.P. Morgan, New York, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014904266","display_name":"Murat Apishev","orcid":"https://orcid.org/0000-0002-9023-3670"},"institutions":[{"id":"https://openalex.org/I19880235","display_name":"Lomonosov Moscow State University","ror":"https://ror.org/010pmpe69","country_code":"RU","type":"education","lineage":["https://openalex.org/I19880235"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Murat Apishev","raw_affiliation_strings":["Moscow State University, Moscow, Russia"],"affiliations":[{"raw_affiliation_string":"Moscow State University, Moscow, Russia","institution_ids":["https://openalex.org/I19880235"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042163612","display_name":"Lev Golitsyn","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lev Golitsyn","raw_affiliation_strings":["Integrated Systems, Moscow, Russia"],"affiliations":[{"raw_affiliation_string":"Integrated Systems, Moscow, Russia","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050048876","display_name":"Konstantin Vorontsov","orcid":"https://orcid.org/0000-0002-4244-4270"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Konstantin Vorontsov","raw_affiliation_strings":["MIPT, Moscow, Russia"],"affiliations":[{"raw_affiliation_string":"MIPT, Moscow, Russia","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5061866972"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.7002,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.92575831,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"182","last_page":"193"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7857387065887451},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.6419389247894287},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6115872263908386},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5412328839302063},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5308065414428711},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.49348580837249756},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.48618191480636597},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.4773029088973999},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.47494199872016907},{"id":"https://openalex.org/keywords/modular-design","display_name":"Modular design","score":0.45466840267181396}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7857387065887451},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.6419389247894287},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6115872263908386},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5412328839302063},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5308065414428711},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.49348580837249756},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.48618191480636597},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.4773029088973999},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.47494199872016907},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.45466840267181396},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.23919/fruct.2017.8250181","is_oa":false,"landing_page_url":"https://doi.org/10.23919/fruct.2017.8250181","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 21st Conference of Open Innovations Association (FRUCT)","raw_type":"proceedings-article"},{"id":"pmh:oai:doaj.org/article:858783fca77940a0aa5594c12de25c65","is_oa":true,"landing_page_url":"https://doaj.org/article/858783fca77940a0aa5594c12de25c65","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 562, Iss 21, Pp 182-193 (2017)","raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:doaj.org/article:858783fca77940a0aa5594c12de25c65","is_oa":true,"landing_page_url":"https://doaj.org/article/858783fca77940a0aa5594c12de25c65","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 562, Iss 21, Pp 182-193 (2017)","raw_type":"article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6800000071525574,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":92,"referenced_works":["https://openalex.org/W29281623","https://openalex.org/W69371391","https://openalex.org/W108349218","https://openalex.org/W154441183","https://openalex.org/W168564468","https://openalex.org/W747801556","https://openalex.org/W1506246224","https://openalex.org/W1585143568","https://openalex.org/W1603213931","https://openalex.org/W1629405680","https://openalex.org/W1714665356","https://openalex.org/W1880262756","https://openalex.org/W1983719983","https://openalex.org/W2018335545","https://openalex.org/W2020199037","https://openalex.org/W2024646939","https://openalex.org/W2024846980","https://openalex.org/W2031237011","https://openalex.org/W2033593667","https://openalex.org/W2048330531","https://openalex.org/W2063397738","https://openalex.org/W2064153289","https://openalex.org/W2074909580","https://openalex.org/W2079591709","https://openalex.org/W2087743880","https://openalex.org/W2098401485","https://openalex.org/W2099223662","https://openalex.org/W2100456378","https://openalex.org/W2104210067","https://openalex.org/W2107743791","https://openalex.org/W2112050062","https://openalex.org/W2112546494","https://openalex.org/W2118020653","https://openalex.org/W2127860643","https://openalex.org/W2128925311","https://openalex.org/W2129028998","https://openalex.org/W2129350855","https://openalex.org/W2129865888","https://openalex.org/W2132827946","https://openalex.org/W2135790056","https://openalex.org/W2136189984","https://openalex.org/W2137268161","https://openalex.org/W2139413263","https://openalex.org/W2140124448","https://openalex.org/W2148145768","https://openalex.org/W2150461699","https://openalex.org/W2150815390","https://openalex.org/W2151703435","https://openalex.org/W2153579005","https://openalex.org/W2158266063","https://openalex.org/W2161301211","https://openalex.org/W2161353674","https://openalex.org/W2165599843","https://openalex.org/W2166753626","https://openalex.org/W2169606435","https://openalex.org/W2171343266","https://openalex.org/W2174706414","https://openalex.org/W2223881431","https://openalex.org/W2238728730","https://openalex.org/W2278712165","https://openalex.org/W2281717416","https://openalex.org/W2341256577","https://openalex.org/W2529260475","https://openalex.org/W2561206696","https://openalex.org/W2588345085","https://openalex.org/W2593560537","https://openalex.org/W2769237349","https://openalex.org/W2882319491","https://openalex.org/W2964350102","https://openalex.org/W3099640513","https://openalex.org/W3160026549","https://openalex.org/W3191652302","https://openalex.org/W4231510805","https://openalex.org/W4233135949","https://openalex.org/W4294170691","https://openalex.org/W6630417432","https://openalex.org/W6635902431","https://openalex.org/W6636833305","https://openalex.org/W6639619044","https://openalex.org/W6656867430","https://openalex.org/W6676626241","https://openalex.org/W6679340887","https://openalex.org/W6680194728","https://openalex.org/W6681624783","https://openalex.org/W6682691769","https://openalex.org/W6683847445","https://openalex.org/W6684489972","https://openalex.org/W6689951360","https://openalex.org/W6695690082","https://openalex.org/W6734120475","https://openalex.org/W6746199816","https://openalex.org/W6794970557"],"related_works":["https://openalex.org/W4365211920","https://openalex.org/W3014948380","https://openalex.org/W4380551139","https://openalex.org/W2280377497","https://openalex.org/W3174044702","https://openalex.org/W4238433571","https://openalex.org/W2967848559","https://openalex.org/W4283803360","https://openalex.org/W4317695495","https://openalex.org/W4387506531"],"abstract_inverted_index":{"Topic":[0,143],"modelling":[1,81,225],"is":[2,77,118,147,226],"an":[3],"area":[4],"of":[5,25,31,111,142,160,178,183,188,204,207],"text":[6,32],"mining":[7],"that":[8,158],"has":[9],"been":[10],"actively":[11],"developed":[12],"in":[13,109,169,228],"the":[14,94,102,139,161,175,184,214,229],"last":[15],"15":[16],"years.":[17],"A":[18],"probabilistic":[19,113],"topic":[20,37,80,99,164,189,224],"model":[21],"extracts":[22],"a":[23,29,39,49,85,112,134,170],"set":[24],"hidden":[26],"topics":[27],"from":[28],"collection":[30],"documents.":[33],"It":[34,146],"defines":[35],"each":[36,46],"by":[38],"probability":[40,50],"distribution":[41,51],"over":[42,52],"words":[43],"and":[44,67,126,155,196],"describes":[45],"document":[47],"with":[48,213],"topics.":[53],"In":[54,101,129],"applications,":[55],"there":[56],"are":[57,107],"often":[58],"many":[59,159],"requirements,":[60],"such":[61],"as,":[62],"for":[63,79,98,217,223],"example,":[64],"problem-specific":[65],"knowledge":[66],"additional":[68],"data,":[69],"to":[70,82,123,209],"be":[71,83,167],"taken":[72],"into":[73],"account.":[74],"Therefore,":[75],"it":[76],"natural":[78],"considered":[84],"multiobjective":[86,136],"optimization":[87],"problem.":[88],"However,":[89],"historically,":[90],"Bayesian":[91,103,163],"learning":[92],"became":[93],"most":[95,185],"popular":[96],"approach":[97,117,137],"modelling.":[100],"paradigm,":[104],"all":[105],"requirements":[106],"formalized":[108],"terms":[110],"generative":[114],"process.":[115],"This":[116,219],"not":[119],"always":[120],"convenient":[121],"due":[122],"some":[124,182],"limitations":[125],"technical":[127],"difficulties.":[128],"this":[130],"work,":[131],"we":[132,156],"develop":[133],"non-Bayesian":[135],"called":[138],"Additive":[140],"Regularization":[141],"Models":[144],"(ARTM).":[145],"based":[148],"on":[149],"regularized":[150],"Maximum":[151],"Likelihood":[152],"Estimation":[153],"(MLE),":[154],"show":[157],"well-known":[162],"models":[165,208,212],"can":[166],"re-formulated":[168],"much":[171],"simpler":[172],"way":[173],"using":[174],"regularization":[176],"point":[177],"view.":[179],"We":[180],"review":[181],"important":[186],"types":[187,206],"models:":[190],"multimodal,":[191],"multilingual,":[192],"temporal,":[193],"hierarchical,":[194],"graph-based,":[195],"short-text.":[197],"The":[198],"ARTM":[199],"framework":[200],"enables":[201],"easy":[202],"combination":[203],"different":[205],"create":[210],"new":[211],"desired":[215],"properties":[216],"applications.":[218],"modular":[220],"\u201clego-style\u201d":[221],"technology":[222],"implemented":[227],"open-source":[230],"library":[231],"BigARTM.":[232]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2}],"updated_date":"2026-03-20T20:47:17.329874","created_date":"2025-10-10T00:00:00"}
