乐胖代购免代理版

{"id":"https://openalex.org/W2912049006","doi":"https://doi.org/10.1109/icdmw.2018.00126","title":"Joint Classification Model of Topic and Polarity: Finding Satisfaction and Dissatisfaction Factors from Airport Service Review","display_name":"Joint Classification Model of Topic and Polarity: Finding Satisfaction and Dissatisfaction Factors from Airport Service Review","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2912049006","doi":"https://doi.org/10.1109/icdmw.2018.00126","mag":"2912049006"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdmw.2018.00126","pdf_url":null,"source":{"id":"https://openalex.org/S4363608174","display_name":"2022 IEEE International Conference on Data Mining Workshops (ICDMW)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5049587003","display_name":"Kosuke Mizufune","orcid":"https://orcid.org/0009-0006-8953-2960"},"institutions":[{"id":"https://openalex.org/I14314212","display_name":"Osaka University of Economics","ror":"https://ror.org/04g11bp59","country_code":"JP","type":"education","lineage":["https://openalex.org/I14314212"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kosuke Mizufune","raw_affiliation_strings":["Graduate School of Economics, Osaka University, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Economics, Osaka University, Osaka, Japan","institution_ids":["https://openalex.org/I14314212"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085506429","display_name":"Sotaro Katsumata","orcid":"https://orcid.org/0000-0003-0496-8863"},"institutions":[{"id":"https://openalex.org/I14314212","display_name":"Osaka University of Economics","ror":"https://ror.org/04g11bp59","country_code":"JP","type":"education","lineage":["https://openalex.org/I14314212"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Sotaro Katsumata","raw_affiliation_strings":["Graduate School of Economics, Osaka University, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Economics, Osaka University, Osaka, Japan","institution_ids":["https://openalex.org/I14314212"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.123,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":5,"citation_normalized_percentile":{"value":0.567734,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":79,"max":80},"biblio":{"volume":null,"issue":null,"first_page":"856","last_page":"863"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9997,"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":0.9997,"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/T10609","display_name":"Digital Marketing and Social Media","score":0.9956,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9909,"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/polarity","display_name":"Polarity (international relations)","score":0.8049053},{"id":"https://openalex.org/keywords/empirical-research","display_name":"Empirical Research","score":0.48553324}],"concepts":[{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.96508634},{"id":"https://openalex.org/C2777361361","wikidata":"https://www.wikidata.org/wiki/Q1112585","display_name":"Polarity (international relations)","level":3,"score":0.8049053},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7375868},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.62396216},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.5380693},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.52291906},{"id":"https://openalex.org/C140781008","wikidata":"https://www.wikidata.org/wiki/Q1221081","display_name":"Service quality","level":3,"score":0.49516407},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.48553324},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47415036},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43699414},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4366901},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.41829285},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.41054416},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36130974},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.33102536},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1446831},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.13650537},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09355968},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C1491633281","wikidata":"https://www.wikidata.org/wiki/Q7868","display_name":"Cell","level":2,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C136264566","wikidata":"https://www.wikidata.org/wiki/Q159810","display_name":"Economy","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}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdmw.2018.00126","pdf_url":null,"source":{"id":"https://openalex.org/S4363608174","display_name":"2022 IEEE International Conference on Data Mining Workshops (ICDMW)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":16,"referenced_works":["https://openalex.org/W1880262756","https://openalex.org/W1986044318","https://openalex.org/W2001082470","https://openalex.org/W2022204871","https://openalex.org/W202450247","https://openalex.org/W2045599215","https://openalex.org/W2045631398","https://openalex.org/W2098062695","https://openalex.org/W2108420397","https://openalex.org/W2108646579","https://openalex.org/W2123751690","https://openalex.org/W2132314509","https://openalex.org/W2166706824","https://openalex.org/W2396526128","https://openalex.org/W2465116584","https://openalex.org/W4211186029"],"related_works":["https://openalex.org/W4389543811","https://openalex.org/W4315588616","https://openalex.org/W4312773271","https://openalex.org/W3159709618","https://openalex.org/W3005513013","https://openalex.org/W2962686197","https://openalex.org/W2888805565","https://openalex.org/W2769501189","https://openalex.org/W2611137333","https://openalex.org/W2207653751"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,15,26,91],"model":[4,60],"developed":[5],"based":[6],"on":[7],"Latent":[8],"Dirichlet":[9],"Allocation":[10],"(LDA).":[11],"It":[12],"incorporates":[13],"both":[14],"document":[16],"dataset":[17],"and":[18,28,73],"the":[19,22,35,48,58,69,87,95],"polarity":[20,92],"of":[21,50,90],"document,":[23],"for":[24],"example,":[25],"positive":[27],"negative":[29],"evaluation,":[30],"as":[31,66,68],"input":[32],"data.":[33],"In":[34],"empirical":[36],"analysis,":[37],"it":[38],"was":[39],"applied":[40],"to":[41],"international":[42],"airport":[43],"user":[44,76],"reviews,":[45],"in":[46],"which":[47],"quality":[49],"services":[51],"is":[52,80],"evaluated.":[53],"The":[54],"results":[55],"show":[56],"that":[57,74],"proposed":[59],"can":[61],"classify":[62],"reviews":[63],"into":[64],"topics":[65],"effectively":[67],"original":[70],"topic":[71],"model,":[72],"its":[75],"evaluation":[77],"forecasting":[78],"ability":[79],"also":[81],"good.":[82],"Furthermore,":[83],"this":[84],"study":[85],"examined":[86],"automatic":[88],"generation":[89],"dictionary":[93],"by":[94],"model.":[96]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2912049006","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-02-22T21:27:03.681987","created_date":"2019-02-21"}