{"id":"https://openalex.org/W3125386586","doi":"https://doi.org/10.1145/3428757.3429123","title":"Extracting Rhetorical Question from Twitter","display_name":"Extracting Rhetorical Question from Twitter","publication_year":2020,"publication_date":"2020-11-30","ids":{"openalex":"https://openalex.org/W3125386586","doi":"https://doi.org/10.1145/3428757.3429123","mag":"3125386586"},"language":"en","primary_location":{"id":"doi:10.1145/3428757.3429123","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3428757.3429123","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd International Conference on Information Integration and Web-based Applications &amp; Services","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/A5101065396","display_name":"Rinji Suzuki","orcid":null},"institutions":[{"id":"https://openalex.org/I15991598","display_name":"Konan University","ror":"https://ror.org/059b5pb30","country_code":"JP","type":"education","lineage":["https://openalex.org/I15991598"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Rinji Suzuki","raw_affiliation_strings":["Konan University, Kobe, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Konan University, Kobe, Japan","institution_ids":["https://openalex.org/I15991598"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052851500","display_name":"Akiyo Nadamoto","orcid":"https://orcid.org/0000-0001-9071-0935"},"institutions":[{"id":"https://openalex.org/I15991598","display_name":"Konan University","ror":"https://ror.org/059b5pb30","country_code":"JP","type":"education","lineage":["https://openalex.org/I15991598"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Akiyo Nadamoto","raw_affiliation_strings":["Konan University, Kobe, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Konan University, Kobe, Japan","institution_ids":["https://openalex.org/I15991598"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I15991598"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1885065,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"290","last_page":"299"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9983999729156494,"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":0.9959999918937683,"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/rhetorical-question","display_name":"Rhetorical question","score":0.9488921165466309},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6659508943557739},{"id":"https://openalex.org/keywords/rhetorical-device","display_name":"Rhetorical device","score":0.5165873765945435},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.43745195865631104},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.36887985467910767},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3490508794784546},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.33573591709136963},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.327228307723999}],"concepts":[{"id":"https://openalex.org/C192562157","wikidata":"https://www.wikidata.org/wiki/Q316694","display_name":"Rhetorical question","level":2,"score":0.9488921165466309},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6659508943557739},{"id":"https://openalex.org/C62291451","wikidata":"https://www.wikidata.org/wiki/Q1762471","display_name":"Rhetorical device","level":3,"score":0.5165873765945435},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.43745195865631104},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.36887985467910767},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3490508794784546},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.33573591709136963},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.327228307723999},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3428757.3429123","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3428757.3429123","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd International Conference on Information Integration and Web-based Applications &amp; Services","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":10,"referenced_works":["https://openalex.org/W1964349248","https://openalex.org/W1969667536","https://openalex.org/W2058671303","https://openalex.org/W2169004485","https://openalex.org/W2268623141","https://openalex.org/W2314306455","https://openalex.org/W2317346090","https://openalex.org/W2331167351","https://openalex.org/W2783008516","https://openalex.org/W2980141174"],"related_works":["https://openalex.org/W2352792643","https://openalex.org/W2243559817","https://openalex.org/W2385531304","https://openalex.org/W4307700106","https://openalex.org/W2392541822","https://openalex.org/W3165810688","https://openalex.org/W2392159877","https://openalex.org/W2394360384","https://openalex.org/W3008467011","https://openalex.org/W2381193109"],"abstract_inverted_index":{"Many":[0],"types":[1],"of":[2,29,57],"content":[3,18],"exist":[4],"on":[5],"SNSs.":[6],"Sometimes":[7],"authors'":[8],"opinions":[9],"are":[10,69],"not":[11,38],"properly":[12],"communicated":[13,39],"to":[14,45,88],"the":[15,27,34,46,58,82],"reader.":[16,47],"The":[17],"might":[19,76,80],"be":[20],"inflammatory,":[21],"known":[22,71],"as":[23,72],"flaming.":[24],"We":[25,84],"infer":[26],"importance":[28],"extracting":[30],"passages":[31],"in":[32],"which":[33],"author's":[35],"opinion":[36],"is":[37,43],"correctly":[40],"when":[41],"it":[42,86],"presented":[44],"This":[48],"study":[49],"particularly":[50],"examines":[51,64],"tweets,":[52],"a":[53],"popular":[54],"message":[55],"system":[56],"Twitter":[59],"SNS,":[60],"and":[61,79,94],"also":[62],"specifically":[63],"\"rhetorical":[65],"questions.\"":[66],"Rhetorical":[67],"questions":[68],"sometimes":[70],"mandarin":[73],"sentences.":[74],"People":[75],"misunderstand":[77],"them":[78],"flame":[81],"author.":[83],"consider":[85],"important":[87],"extract":[89],"rhetorical":[90],"question":[91],"tweets":[92],"automatically":[93],"present":[95],"them.":[96]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
