{"id":"https://openalex.org/W2501711337","doi":"https://doi.org/10.1109/tkde.2016.2594772","title":"CRATS: An LDA-Based Model for Jointly Mining Latent Communities, Regions, Activities, Topics, and Sentiments from Geosocial Network Data","display_name":"CRATS: An LDA-Based Model for Jointly Mining Latent Communities, Regions, Activities, Topics, and Sentiments from Geosocial Network Data","publication_year":2016,"publication_date":"2016-07-27","ids":{"openalex":"https://openalex.org/W2501711337","doi":"https://doi.org/10.1109/tkde.2016.2594772","mag":"2501711337"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2016.2594772","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2016.2594772","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018287566","display_name":"Jia-Dong Zhang","orcid":"https://orcid.org/0000-0001-6378-5894"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Jia-Dong Zhang","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Kowloon Tong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Kowloon Tong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022507249","display_name":"Chi-Yin Chow","orcid":"https://orcid.org/0000-0002-9566-0743"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Chi-Yin Chow","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Kowloon Tong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Kowloon Tong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5018287566"],"corresponding_institution_ids":["https://openalex.org/I168719708"],"apc_list":null,"apc_paid":null,"fwci":5.5701,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.96086413,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"28","issue":"11","first_page":"2895","last_page":"2909"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9965000152587891,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9965000152587891,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9948999881744385,"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":0.8099323511123657},{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.7734894752502441},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.5802119970321655},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5713317394256592},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.512302041053772},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.5040234923362732},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.4726791977882385},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.4708523154258728},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.46406111121177673},{"id":"https://openalex.org/keywords/latent-variable","display_name":"Latent variable","score":0.44674810767173767},{"id":"https://openalex.org/keywords/interdependence","display_name":"Interdependence","score":0.43024250864982605},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.40184664726257324},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3404689431190491},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3274618089199066},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21813949942588806},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.19249087572097778},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.08007991313934326}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8099323511123657},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.7734894752502441},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.5802119970321655},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5713317394256592},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.512302041053772},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.5040234923362732},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.4726791977882385},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.4708523154258728},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.46406111121177673},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.44674810767173767},{"id":"https://openalex.org/C185874996","wikidata":"https://www.wikidata.org/wiki/Q269699","display_name":"Interdependence","level":2,"score":0.43024250864982605},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.40184664726257324},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3404689431190491},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3274618089199066},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21813949942588806},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.19249087572097778},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.08007991313934326},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2016.2594772","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2016.2594772","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6600000262260437,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G3631792815","display_name":null,"funder_award_id":"7004217","funder_id":"https://openalex.org/F4320309893","funder_display_name":"City University of Hong Kong"}],"funders":[{"id":"https://openalex.org/F4320309893","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1576326591","https://openalex.org/W1880262756","https://openalex.org/W1902027874","https://openalex.org/W2001259128","https://openalex.org/W2001587475","https://openalex.org/W2005110322","https://openalex.org/W2005499394","https://openalex.org/W2020669710","https://openalex.org/W2024504711","https://openalex.org/W2034688657","https://openalex.org/W2041387395","https://openalex.org/W2043775452","https://openalex.org/W2044429219","https://openalex.org/W2048195127","https://openalex.org/W2055852858","https://openalex.org/W2059047669","https://openalex.org/W2070075246","https://openalex.org/W2070915285","https://openalex.org/W2072644219","https://openalex.org/W2076538105","https://openalex.org/W2077480106","https://openalex.org/W2082260230","https://openalex.org/W2084677224","https://openalex.org/W2107743791","https://openalex.org/W2108420397","https://openalex.org/W2116959421","https://openalex.org/W2123751690","https://openalex.org/W2127860643","https://openalex.org/W2130978632","https://openalex.org/W2133280805","https://openalex.org/W2139809240","https://openalex.org/W2142972908","https://openalex.org/W2144054482","https://openalex.org/W2145071407","https://openalex.org/W2149510050","https://openalex.org/W2151802055","https://openalex.org/W2154970197","https://openalex.org/W2160409620","https://openalex.org/W2169681319","https://openalex.org/W2170414372","https://openalex.org/W2171343266","https://openalex.org/W2223881431","https://openalex.org/W4231510805","https://openalex.org/W4233135949","https://openalex.org/W4291713061","https://openalex.org/W6639619044","https://openalex.org/W6679915538","https://openalex.org/W6682449736"],"related_works":["https://openalex.org/W4386799044","https://openalex.org/W2139079562","https://openalex.org/W2773208253","https://openalex.org/W2548633793","https://openalex.org/W2749324135","https://openalex.org/W2179772789","https://openalex.org/W1522817657","https://openalex.org/W2042394538","https://openalex.org/W4280535804","https://openalex.org/W2165807738"],"abstract_inverted_index":{"Geosocial":[0],"networks":[1],"like":[2],"Yelp":[3,225],"and":[4,10,30,61,78,107,128,132,167,212,226],"Foursquare":[5],"have":[6],"been":[7],"rapidly":[8],"growing":[9],"accumulating":[11],"plenty":[12],"of":[13,109,181],"data":[14,37,221],"such":[15],"as":[16],"social":[17,44],"links":[18],"between":[19,51],"users,":[20],"user":[21,31],"check-ins":[22],"to":[23,99,189],"venues,":[24],"venue":[25,28,79,213],"geographical":[26,48],"locations,":[27],"categories,":[29],"textual":[32],"comments":[33],"on":[34,41,55,125,170],"venues.":[35],"These":[36],"contain":[38],"rich":[39],"knowledge":[40,67,91],"the":[42,90,93,95,101,120,161,171,179,186],"user's":[43],"interactions":[45],"in":[46,59,85,119,148,205],"communities,":[47,103],"mobility":[49],"patterns":[50],"regions,":[52,104],"categorical":[53],"preferences":[54],"activities,":[56,105],"aspect":[57],"interests":[58],"topics,":[60,106,133],"opinion":[62],"expressions":[63],"for":[64,70,139,203],"sentiments.":[65],"Such":[66],"is":[68,98,185],"essential":[69],"two":[71],"key":[72,96],"applications,":[73,207],"namely,":[74],"text":[75,209],"sentiment":[76,210],"classification":[77,211],"recommendations,":[80,214],"which":[81,134],"will":[82],"be":[83],"developed":[84],"this":[86,146,149,184],"paper.":[87],"To":[88,144,178],"extract":[89],"from":[92,224],"data,":[94],"task":[97],"discover":[100],"latent":[102,113,142,162,176,194],"sentiments":[108],"users.":[110],"However,":[111],"these":[112,141,175,192],"variables":[114],"are":[115],"interdependent,":[116],"e.g.,":[117],"users":[118],"same":[121],"community":[122],"usually":[123],"travel":[124],"nearby":[126],"regions":[127],"share":[129],"common":[130],"activities":[131],"renders":[135],"a":[136,199],"big":[137],"challenge":[138],"modeling":[140],"variables.":[143,177,195],"tackle":[145],"challenge,":[147],"study,":[150],"we":[151,197],"propose":[152],"an":[153],"LDA-based":[154],"model":[155,191],"called":[156],"CRATS":[157,204,232],"that":[158,231],"jointly":[159,190],"mines":[160],"Communities,":[163],"Regions,":[164],"Activities,":[165],"Topics,":[166],"Sentiments":[168],"based":[169],"important":[172],"dependencies":[173],"among":[174],"best":[180],"our":[182],"knowledge,":[183],"first":[187],"study":[188],"five":[193],"Finally,":[196],"conduct":[198],"comprehensive":[200],"performance":[201,236],"evaluation":[202],"different":[206],"including":[208],"using":[215],"three":[216],"large-scale":[217],"real-world":[218],"geosocial":[219],"network":[220],"sets":[222],"collected":[223],"Foursquare.":[227],"Experimental":[228],"results":[229],"show":[230],"achieves":[233],"significantly":[234],"superior":[235],"against":[237],"other":[238],"state-of-the-art":[239],"techniques.":[240]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
