{"id":"https://openalex.org/W2014281255","doi":"https://doi.org/10.1145/2184305.2184313","title":"An information theoretic approach to sentiment polarity classification","display_name":"An information theoretic approach to sentiment polarity classification","publication_year":2012,"publication_date":"2012-04-16","ids":{"openalex":"https://openalex.org/W2014281255","doi":"https://doi.org/10.1145/2184305.2184313","mag":"2014281255"},"language":"en","primary_location":{"id":"doi:10.1145/2184305.2184313","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2184305.2184313","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd Joint WICOW/AIRWeb Workshop on Web Quality","raw_type":"proceedings-article"},"type":"conference-paper","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/A5007601689","display_name":"Yuming Lin","orcid":"https://orcid.org/0000-0001-6850-5222"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuming Lin","raw_affiliation_strings":["East China Normal University, Shanghai, P. R. China","[East China Normal University, Shanghai, P.R. China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University, Shanghai, P. R. China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"[East China Normal University, Shanghai, P.R. China]","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100434263","display_name":"Jingwei Zhang","orcid":"https://orcid.org/0000-0002-1681-6608"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingwei Zhang","raw_affiliation_strings":["East China Normal University, Shanghai, P. R. China","[East China Normal University, Shanghai, P.R. China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University, Shanghai, P. R. China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"[East China Normal University, Shanghai, P.R. China]","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100344628","display_name":"Xiaoling Wang","orcid":"https://orcid.org/0000-0002-4594-6946"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoling Wang","raw_affiliation_strings":["East China Normal University, Shanghai, P. R. China","[East China Normal University, Shanghai, P.R. China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University, Shanghai, P. R. China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"[East China Normal University, Shanghai, P.R. China]","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101511862","display_name":"Aoying Zhou","orcid":"https://orcid.org/0000-0002-4665-7302"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aoying Zhou","raw_affiliation_strings":["East China Normal University, Shanghai, P. R. China","[East China Normal University, Shanghai, P.R. China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University, Shanghai, P. R. China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"[East China Normal University, Shanghai, P.R. China]","institution_ids":["https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I66867065"],"apc_list":null,"apc_paid":null,"fwci":5.9839,"has_fulltext":false,"cited_by_count":58,"citation_normalized_percentile":{"value":0.9715381,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"35","last_page":"40"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9965000152587891,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9929999709129333,"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/sentiment-analysis","display_name":"Sentiment analysis","score":0.805633544921875},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7836731672286987},{"id":"https://openalex.org/keywords/vector-space-model","display_name":"Vector space model","score":0.5921965837478638},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5823465585708618},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.5731126666069031},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5491516590118408},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.482441246509552},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4670464098453522},{"id":"https://openalex.org/keywords/polarity","display_name":"Polarity (international relations)","score":0.455841988325119},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4546608626842499},{"id":"https://openalex.org/keywords/credibility","display_name":"Credibility","score":0.43151426315307617},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38291049003601074},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3422245383262634},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3328326344490051}],"concepts":[{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.805633544921875},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7836731672286987},{"id":"https://openalex.org/C89686163","wikidata":"https://www.wikidata.org/wiki/Q1187982","display_name":"Vector space model","level":2,"score":0.5921965837478638},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5823465585708618},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.5731126666069031},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5491516590118408},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.482441246509552},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4670464098453522},{"id":"https://openalex.org/C2777361361","wikidata":"https://www.wikidata.org/wiki/Q1112585","display_name":"Polarity (international relations)","level":3,"score":0.455841988325119},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4546608626842499},{"id":"https://openalex.org/C2780224610","wikidata":"https://www.wikidata.org/wiki/Q1530061","display_name":"Credibility","level":2,"score":0.43151426315307617},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38291049003601074},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3422245383262634},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3328326344490051},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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},{"id":"https://openalex.org/C1491633281","wikidata":"https://www.wikidata.org/wiki/Q7868","display_name":"Cell","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2184305.2184313","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2184305.2184313","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd Joint WICOW/AIRWeb Workshop on Web Quality","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.643.9993","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.643.9993","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.dl.kuis.kyoto-u.ac.jp/webquality2012/p35-lin.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3941931581","display_name":null,"funder_award_id":"6.10E+15","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4682294900","display_name":null,"funder_award_id":"2010CB328106","funder_id":"https://openalex.org/F4320321540","funder_display_name":"Ministry of Science and Technology of the People's Republic of China"},{"id":"https://openalex.org/G6991115994","display_name":null,"funder_award_id":"NCET-10-0388","funder_id":"https://openalex.org/F4320334924","funder_display_name":"Program for New Century Excellent Talents in University"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321540","display_name":"Ministry of Science and Technology of the People's Republic of China","ror":"https://ror.org/027s68j25"},{"id":"https://openalex.org/F4320334924","display_name":"Program for New Century Excellent Talents in University","ror":"https://ror.org/01mv9t934"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W193524605","https://openalex.org/W1493036841","https://openalex.org/W1565420920","https://openalex.org/W1598251544","https://openalex.org/W1970974276","https://openalex.org/W1988987156","https://openalex.org/W2019245803","https://openalex.org/W2036352360","https://openalex.org/W2066590388","https://openalex.org/W2086042358","https://openalex.org/W2102381086","https://openalex.org/W2109634664","https://openalex.org/W2114524997","https://openalex.org/W2115946354","https://openalex.org/W2131305515","https://openalex.org/W2135731857","https://openalex.org/W2149706766","https://openalex.org/W2155328222","https://openalex.org/W2160660844","https://openalex.org/W2163302275","https://openalex.org/W2166706824","https://openalex.org/W2435251607","https://openalex.org/W2540645427","https://openalex.org/W3146306708","https://openalex.org/W6728812918","https://openalex.org/W7034037630"],"related_works":["https://openalex.org/W2388687352","https://openalex.org/W1984947604","https://openalex.org/W2063335787","https://openalex.org/W2064695035","https://openalex.org/W1990330161","https://openalex.org/W2541512317","https://openalex.org/W2372520056","https://openalex.org/W2388472462","https://openalex.org/W2389362148","https://openalex.org/W2203841906"],"abstract_inverted_index":{"Sentiment":[0],"classification":[1,67,117],"is":[2,15,43,64,176],"a":[3,108,135],"task":[4],"of":[5,28,74,88,97,118,132,165],"classifying":[6],"documents":[7,48],"according":[8],"to":[9,153],"their":[10],"overall":[11],"sentiment":[12,51,82,89,100,116,130,149],"inclination.":[13],"It":[14],"very":[16],"important":[17],"and":[18,36,61,106,151,169],"popular":[19],"in":[20,49,53,81,134,143],"many":[21],"web":[22],"applications,":[23],"such":[24],"as":[25],"credibility":[26],"analysis":[27],"news":[29],"sites":[30],"on":[31,46,103,115,127,147,162],"the":[32,55,85,95,129,139,154,163,170,180],"Web,":[33],"recommendation":[34],"system":[35],"mining":[37],"online":[38],"discussion.":[39],"Vector":[40],"space":[41,145],"model":[42],"widely":[44],"applied":[45],"modeling":[47],"supervised":[50],"classification,":[52,83],"which":[54],"feature":[56,71],"presentation":[57,72],"(including":[58],"features":[59],"type":[60],"weight":[62],"function)":[63],"crucial":[65],"for":[66],"accuracy.":[68],"The":[69],"traditional":[70,181],"methods":[73],"text":[75],"categorization":[76],"do":[77],"not":[78],"perform":[79,157],"well":[80],"because":[84],"expressing":[86],"manners":[87],"are":[90,141],"more":[91,177],"subtle.":[92],"We":[93,156],"analyze":[94],"relationships":[96],"terms":[98,133,140],"with":[99,160],"labels":[101],"based":[102,146],"information":[104,112,126],"theory,":[105],"propose":[107],"method":[109],"by":[110],"applying":[111],"theoretic":[113],"approach":[114,175],"documents.":[119],"In":[120],"this":[121],"paper,":[122],"we":[123],"adopt":[124],"mutual":[125],"quantifying":[128],"polarities":[131],"document":[136],"firstly.":[137],"Then":[138],"weighted":[142],"vector":[144],"both":[148],"scores":[150],"contribution":[152],"document.":[155],"extensive":[158],"experiments":[159],"SVM":[161],"sets":[164],"multiple":[166],"product":[167],"reviews,":[168],"experimental":[171],"results":[172],"show":[173],"our":[174],"effective":[178],"than":[179],"ones.":[182]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":9},{"year":2015,"cited_by_count":13},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}