{"id":"https://openalex.org/W4281401957","doi":"https://doi.org/10.1145/3523089.3523092","title":"Analysis of Emotional and Topical Tendencies Focusing on a Twitter User\u2019s Multiple Accounts","display_name":"Analysis of Emotional and Topical Tendencies Focusing on a Twitter User\u2019s Multiple Accounts","publication_year":2022,"publication_date":"2022-02-25","ids":{"openalex":"https://openalex.org/W4281401957","doi":"https://doi.org/10.1145/3523089.3523092"},"language":"en","primary_location":{"id":"doi:10.1145/3523089.3523092","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3523089.3523092","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 The 6th International Conference on Compute and Data Analysis","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/A5012681689","display_name":"Kiichi Tago","orcid":"https://orcid.org/0000-0003-2069-3759"},"institutions":[{"id":"https://openalex.org/I8488066","display_name":"Chiba Institute of Technology","ror":"https://ror.org/00qwnam72","country_code":"JP","type":"education","lineage":["https://openalex.org/I8488066"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kiichi Tago","raw_affiliation_strings":["Department of Information and Network Science, Chiba Institute of Technology, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Network Science, Chiba Institute of Technology, Japan","institution_ids":["https://openalex.org/I8488066"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020440987","display_name":"Akitada Machida","orcid":null},"institutions":[{"id":"https://openalex.org/I8488066","display_name":"Chiba Institute of Technology","ror":"https://ror.org/00qwnam72","country_code":"JP","type":"education","lineage":["https://openalex.org/I8488066"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Akitada Machida","raw_affiliation_strings":["Department of Information and Network Science, Chiba Institute of Technology, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Network Science, Chiba Institute of Technology, Japan","institution_ids":["https://openalex.org/I8488066"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008299082","display_name":"Shin Onose","orcid":null},"institutions":[{"id":"https://openalex.org/I8488066","display_name":"Chiba Institute of Technology","ror":"https://ror.org/00qwnam72","country_code":"JP","type":"education","lineage":["https://openalex.org/I8488066"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shin Onose","raw_affiliation_strings":["Department of Information and Network Science, Chiba Institute of Technology, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Network Science, Chiba Institute of Technology, Japan","institution_ids":["https://openalex.org/I8488066"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001003312","display_name":"Yasuhiro Nakagawa","orcid":"https://orcid.org/0000-0002-2152-3519"},"institutions":[{"id":"https://openalex.org/I8488066","display_name":"Chiba Institute of Technology","ror":"https://ror.org/00qwnam72","country_code":"JP","type":"education","lineage":["https://openalex.org/I8488066"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yasuhiro Nakagawa","raw_affiliation_strings":["Department of Information and Network Science, Chiba Institute of Technology, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Network Science, Chiba Institute of Technology, Japan","institution_ids":["https://openalex.org/I8488066"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I8488066"],"apc_list":null,"apc_paid":null,"fwci":0.122,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.39106504,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"12","last_page":"17"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9264000058174133,"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"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9264000058174133,"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.920199990272522,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.8603973388671875},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.810401976108551},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.5566822290420532},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4704129993915558},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.46374568343162537},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.44998806715011597},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.3857730031013489},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.27174362540245056},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.25742512941360474},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17567631602287292},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07201376557350159}],"concepts":[{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.8603973388671875},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.810401976108551},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.5566822290420532},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4704129993915558},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.46374568343162537},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.44998806715011597},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.3857730031013489},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.27174362540245056},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.25742512941360474},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17567631602287292},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07201376557350159}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3523089.3523092","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3523089.3523092","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 The 6th International Conference on Compute and Data Analysis","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":21,"referenced_works":["https://openalex.org/W1880262756","https://openalex.org/W2091727589","https://openalex.org/W2112535496","https://openalex.org/W2158266063","https://openalex.org/W2165700458","https://openalex.org/W2601996824","https://openalex.org/W2737688792","https://openalex.org/W2791506524","https://openalex.org/W2792309066","https://openalex.org/W2792334230","https://openalex.org/W2794195431","https://openalex.org/W2804489024","https://openalex.org/W2892001475","https://openalex.org/W2919997401","https://openalex.org/W2952172339","https://openalex.org/W2976947635","https://openalex.org/W3084875456","https://openalex.org/W3088750796","https://openalex.org/W3110888553","https://openalex.org/W3181345643","https://openalex.org/W4241727697"],"related_works":["https://openalex.org/W2769501189","https://openalex.org/W4315588616","https://openalex.org/W4312773271","https://openalex.org/W2888805565","https://openalex.org/W2962686197","https://openalex.org/W2207653751","https://openalex.org/W3005513013","https://openalex.org/W2611137333","https://openalex.org/W4291700620","https://openalex.org/W4317422773"],"abstract_inverted_index":{"On":[0],"Twitter,":[1],"a":[2,61,68,161],"user":[3],"can":[4],"create":[5],"multiple":[6,40,57,121,141,174],"accounts":[7,41,58,122],"and":[8,25,34,52,77,92,112,164],"tweet":[9],"to":[10,59,74,89],"express":[11],"emotions":[12,24,76],"or":[13,38,133,148,172],"talk":[14],"about":[15],"something":[16],"in":[17,108,136,151,170],"the":[18,22,30,50,64,79,94,100,103,106,155],"accounts.":[19,65,142,156,175],"Tweets":[20],"reflect":[21],"user\u2019s":[23,162],"topics":[26,91],"of":[27,32,102,110],"interest,":[28],"however,":[29],"similarity":[31,101],"emotion":[33,111],"topic":[35,113],"across":[36,63,105,139,154],"his":[37,171],"her":[39,173],"is":[42],"not":[43],"clear.":[44],"In":[45,115],"this":[46],"study,":[47],"we":[48,83,98],"analyze":[49],"emotional":[51,80,137,163],"topical":[53,95,152,165],"tendencies":[54,104,138,153,166],"for":[55],"one\u2019s":[56],"reveal":[60],"relationship":[62],"We":[66],"use":[67,84],"Japanese":[69],"analysis":[70],"tool":[71],"named":[72],"ML-Ask":[73],"classify":[75],"estimate":[78,93],"tendency.":[81,96],"Furthermore,":[82],"Latent":[85],"Dirichlet":[86],"Allocation":[87],"(LDA)":[88],"extract":[90],"Then,":[97],"investigate":[99],"accounts,":[107],"terms":[109],"respectively.":[114],"our":[116],"experiment,":[117],"275":[118],"users":[119,130,145],"with":[120],"were":[123],"verified.":[124],"The":[125],"results":[126,158],"showed":[127],"that":[128,160],"208":[129],"had":[131,146],"moderate":[132,147],"strong":[134,149],"correlations":[135,150],"their":[140],"Moreover,":[143],"235":[144],"These":[157],"indicate":[159],"are":[167],"commonly":[168],"reflected":[169]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
