{"id":"https://openalex.org/W1982999229","doi":"https://doi.org/10.1145/2245276.2245315","title":"Joint sentiment aspect model","display_name":"Joint sentiment aspect model","publication_year":2012,"publication_date":"2012-03-26","ids":{"openalex":"https://openalex.org/W1982999229","doi":"https://doi.org/10.1145/2245276.2245315","mag":"1982999229"},"language":"en","primary_location":{"id":"doi:10.1145/2245276.2245315","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2245276.2245315","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th Annual ACM Symposium on Applied Computing","raw_type":"proceedings-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/A5070142351","display_name":"Noriaki Kawamae","orcid":"https://orcid.org/0000-0002-0746-9624"},"institutions":[{"id":"https://openalex.org/I165522056","display_name":"Tokyo Denki University","ror":"https://ror.org/01pa62v70","country_code":"JP","type":"education","lineage":["https://openalex.org/I165522056"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Noriaki Kawamae","raw_affiliation_strings":["Tokyo Denki University, Kanda-Nishiki-cho, Chiyoda-ku, Tokyo, Japan","Tokyo Denki University, Kanda-Nishiki-cho, Chiyoda-ku, Tokyo, Japan#TAB#"],"affiliations":[{"raw_affiliation_string":"Tokyo Denki University, Kanda-Nishiki-cho, Chiyoda-ku, Tokyo, Japan","institution_ids":["https://openalex.org/I165522056"]},{"raw_affiliation_string":"Tokyo Denki University, Kanda-Nishiki-cho, Chiyoda-ku, Tokyo, Japan#TAB#","institution_ids":["https://openalex.org/I165522056"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5070142351"],"corresponding_institution_ids":["https://openalex.org/I165522056"],"apc_list":null,"apc_paid":null,"fwci":0.4281,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.7016585,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"205","last_page":"210"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9986000061035156,"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/T10028","display_name":"Topic Modeling","score":0.9965999722480774,"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/generative-model","display_name":"Generative model","score":0.7390909790992737},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7291492819786072},{"id":"https://openalex.org/keywords/latent-variable","display_name":"Latent variable","score":0.6983008980751038},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6927040815353394},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.5810720920562744},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.5700517892837524},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.551799476146698},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.5283366441726685},{"id":"https://openalex.org/keywords/latent-variable-model","display_name":"Latent variable model","score":0.5279554128646851},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4841659665107727},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4668005108833313},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.4666234254837036},{"id":"https://openalex.org/keywords/probabilistic-latent-semantic-analysis","display_name":"Probabilistic latent semantic analysis","score":0.45590537786483765},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4505484700202942},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08411768078804016},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07372120022773743}],"concepts":[{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.7390909790992737},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7291492819786072},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.6983008980751038},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6927040815353394},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.5810720920562744},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.5700517892837524},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.551799476146698},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.5283366441726685},{"id":"https://openalex.org/C65965080","wikidata":"https://www.wikidata.org/wiki/Q1806885","display_name":"Latent variable model","level":3,"score":0.5279554128646851},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4841659665107727},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4668005108833313},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4666234254837036},{"id":"https://openalex.org/C112933361","wikidata":"https://www.wikidata.org/wiki/Q2845258","display_name":"Probabilistic latent semantic analysis","level":2,"score":0.45590537786483765},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4505484700202942},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08411768078804016},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07372120022773743},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2245276.2245315","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2245276.2245315","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th Annual ACM Symposium on Applied Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W263845233","https://openalex.org/W1498269992","https://openalex.org/W1565863475","https://openalex.org/W1967465043","https://openalex.org/W2010239571","https://openalex.org/W2047756776","https://openalex.org/W2096110600","https://openalex.org/W2108420397","https://openalex.org/W2112744748","https://openalex.org/W2113786470","https://openalex.org/W2145071407","https://openalex.org/W2159359879","https://openalex.org/W2160409620","https://openalex.org/W2160660844","https://openalex.org/W2166817967","https://openalex.org/W6629892778","https://openalex.org/W6633918527"],"related_works":["https://openalex.org/W2242083226","https://openalex.org/W1603253275","https://openalex.org/W2616125534","https://openalex.org/W1514645777","https://openalex.org/W2884410131","https://openalex.org/W111011176","https://openalex.org/W2138996412","https://openalex.org/W2906932471","https://openalex.org/W2763292376","https://openalex.org/W2097596242"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,34,55,64,80,98],"generative":[4,44,99],"model":[5,26,94],"that":[6,91],"simultaneously":[7],"detects":[8],"topics,":[9],"sentiments,":[10],"and":[11,30,37,63],"ratings":[12],"from":[13],"review":[14,88],"articles.":[15],"Unlike":[16],"other":[17],"sentiment":[18],"analysis":[19],"models,":[20],"our":[21],"proposal,":[22],"Joint":[23],"Sentiment":[24],"Aspect":[25],"(JSA),":[27],"distinguishes":[28],"objective":[29],"subjective":[31],"information,":[32],"for":[33],"given":[35],"item":[36],"the":[38,43,92],"corresponding":[39],"rating,":[40],"to":[41,75],"describe":[42],"process":[45],"of":[46,83],"each":[47,61,69],"article.":[48],"For":[49],"handling":[50],"these":[51,77],"differences,":[52],"JSA":[53,74],"introduces":[54],"latent":[56,65,81],"sentiment/aspect":[57,84],"class":[58],"variable":[59,67],"into":[60,68],"article":[62],"switch":[66],"token.":[70],"These":[71],"classes":[72],"allow":[73],"project":[76],"articles":[78,89],"onto":[79],"space":[82],"dimensionality.":[85],"Experiments":[86],"on":[87],"show":[90],"proposed":[93],"is":[95],"useful":[96],"as":[97],"model.":[100]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}