{"id":"https://openalex.org/W3017202987","doi":"https://doi.org/10.1109/icaiic48513.2020.9064999","title":"Estimating Twitter user's interest for inviting potential participants into Web-based debate platforms based on BERT","display_name":"Estimating Twitter user's interest for inviting potential participants into Web-based debate platforms based on BERT","publication_year":2020,"publication_date":"2020-02-01","ids":{"openalex":"https://openalex.org/W3017202987","doi":"https://doi.org/10.1109/icaiic48513.2020.9064999","mag":"3017202987"},"language":"en","primary_location":{"id":"doi:10.1109/icaiic48513.2020.9064999","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaiic48513.2020.9064999","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","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/A5003254678","display_name":"Chao Cai","orcid":null},"institutions":[{"id":"https://openalex.org/I197274945","display_name":"Nagoya Institute of Technology","ror":"https://ror.org/055yf1005","country_code":"JP","type":"education","lineage":["https://openalex.org/I197274945"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Chao CAI","raw_affiliation_strings":["Graduate School of Engineering, Nagoya Institute of Technology, Gokiso-cho, Showa-ku, Nagoya, Aichi, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Nagoya Institute of Technology, Gokiso-cho, Showa-ku, Nagoya, Aichi, Japan","institution_ids":["https://openalex.org/I197274945"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011984520","display_name":"Shun Shiramatsu","orcid":"https://orcid.org/0000-0002-6357-3207"},"institutions":[{"id":"https://openalex.org/I197274945","display_name":"Nagoya Institute of Technology","ror":"https://ror.org/055yf1005","country_code":"JP","type":"education","lineage":["https://openalex.org/I197274945"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shun Shiramatsu","raw_affiliation_strings":["Graduate School of Engineering, Nagoya Institute of Technology, Gokiso-cho, Showa-ku, Nagoya, Aichi, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Nagoya Institute of Technology, Gokiso-cho, Showa-ku, Nagoya, Aichi, Japan","institution_ids":["https://openalex.org/I197274945"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5003254678"],"corresponding_institution_ids":["https://openalex.org/I197274945"],"apc_list":null,"apc_paid":null,"fwci":0.1326,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5181706,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"47 1","issue":null,"first_page":"602","last_page":"607"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9984999895095825,"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":0.9984999895095825,"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":0.9908000230789185,"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":0.9876999855041504,"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":0.7066093683242798},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6884450912475586},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6112197041511536},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5172258615493774},{"id":"https://openalex.org/keywords/web-application","display_name":"Web application","score":0.42499685287475586},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.41869112849235535},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36014771461486816},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.13162338733673096},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.07647311687469482}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7066093683242798},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6884450912475586},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6112197041511536},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5172258615493774},{"id":"https://openalex.org/C118643609","wikidata":"https://www.wikidata.org/wiki/Q189210","display_name":"Web application","level":2,"score":0.42499685287475586},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.41869112849235535},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36014771461486816},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.13162338733673096},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.07647311687469482},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icaiic48513.2020.9064999","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaiic48513.2020.9064999","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1482282734","https://openalex.org/W1546325158","https://openalex.org/W1987381877","https://openalex.org/W2084591134","https://openalex.org/W2343806786","https://openalex.org/W2577986441","https://openalex.org/W2896457183","https://openalex.org/W2934147735","https://openalex.org/W2963250244","https://openalex.org/W2963341956","https://openalex.org/W3000168531"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W4390516098","https://openalex.org/W2181948922","https://openalex.org/W2384362569","https://openalex.org/W2142795561","https://openalex.org/W4205302943","https://openalex.org/W2561132942","https://openalex.org/W3155418658","https://openalex.org/W4243199227","https://openalex.org/W2379948177"],"abstract_inverted_index":{"As":[0],"the":[1,19,25,32,45,55,69,119,129,140,143,152,166,172],"growing":[2],"usage":[3],"of":[4,15,21,57,88,103,111,142,165,174],"online":[5],"debate":[6,26,30,136,144],"system,":[7],"more":[8,10],"and":[9,41,50,61,105,161],"new":[11],"platforms":[12,46],"or":[13,28],"that":[14,171],"local":[16],"community":[17],"encounter":[18],"barrier":[20],"inviting":[22],"participants":[23,43],"before":[24],"starts":[27],"when":[29],"in":[31,79,134],"stagnation":[33],"situation.":[34],"The":[35],"traditional":[36],"way":[37],"to":[38,54,67,85,91,113,125,145,150],"promote":[39],"debates":[40],"invite":[42],"for":[44,138],"can":[47],"be":[48],"expensive":[49],"low":[51],"efficient":[52],"due":[53],"feature":[56,93,99],"web":[58],"debate,":[59],"time-free":[60],"local-free.":[62],"We":[63,82,154],"propose":[64],"a":[65,123],"system":[66,90,120,176],"tackle":[68],"problem":[70],"by":[71,100],"applying":[72],"Bidirectional":[73],"Encoder":[74],"Representations":[75],"from":[76],"Transformers":[77],"(BERT)":[78],"this":[80],"paper.":[81],"adapt":[83],"BERT":[84],"two":[86],"folds":[87],"our":[89,175],"get":[92],"vectors.":[94],"First":[95],"fold":[96,107],"output":[97,108],"aspect-like":[98],"using":[101],"hashtags":[102],"Twitter":[104],"second":[106],"contextual":[109,116],"representation":[110],"text":[112],"help":[114],"obtain":[115,162],"feature.":[117],"Finally,":[118],"will":[121],"generate":[122],"score":[124],"estimate":[126],"how":[127],"much":[128],"SNS":[130],"user":[131],"is":[132,177],"interested":[133],"certain":[135],"topic":[137],"supporting":[139],"administrator":[141],"make":[146,151],"decision":[147],"on":[148],"whether":[149],"invitation.":[153],"conduct":[155],"an":[156],"estimation":[157],"experiment":[158],"with":[159],"questionnaire":[160],"over":[163],"0.61":[164],"correlation":[167],"coefficient":[168],"which":[169],"shows":[170],"goal":[173],"feasible.":[178]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}