{"id":"https://openalex.org/W1041597453","doi":"https://doi.org/10.1609/aaai.v29i1.9526","title":"An Unsupervised Framework of Exploring Events on Twitter: Filtering, Extraction and Categorization","display_name":"An Unsupervised Framework of Exploring Events on Twitter: Filtering, Extraction and Categorization","publication_year":2015,"publication_date":"2015-02-19","ids":{"openalex":"https://openalex.org/W1041597453","doi":"https://doi.org/10.1609/aaai.v29i1.9526","mag":"1041597453"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v29i1.9526","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v29i1.9526","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1609/aaai.v29i1.9526","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007145568","display_name":"Deyu Zhou","orcid":"https://orcid.org/0000-0001-7702-9387"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deyu Zhou","raw_affiliation_strings":["Southeast University","School of Computer Science and Engineering Southeast University China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southeast University","institution_ids":[]},{"raw_affiliation_string":"School of Computer Science and Engineering Southeast University China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100780216","display_name":"Liangyu Chen","orcid":"https://orcid.org/0000-0002-6817-8644"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangyu Chen","raw_affiliation_strings":["Southeast University","School of Computer Science and Engineering Southeast University China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southeast University","institution_ids":[]},{"raw_affiliation_string":"School of Computer Science and Engineering Southeast University China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015709853","display_name":"Yulan He","orcid":"https://orcid.org/0000-0003-3948-5845"},"institutions":[{"id":"https://openalex.org/I169199633","display_name":"Aston University","ror":"https://ror.org/05j0ve876","country_code":"GB","type":"education","lineage":["https://openalex.org/I169199633"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yulan He","raw_affiliation_strings":["Aston University","School of Engineering & Applied Science, Aston University, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aston University","institution_ids":["https://openalex.org/I169199633"]},{"raw_affiliation_string":"School of Engineering & Applied Science, Aston University, UK","institution_ids":["https://openalex.org/I169199633"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":10.8309,"has_fulltext":true,"cited_by_count":89,"citation_normalized_percentile":{"value":0.98946201,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"29","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9991000294685364,"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":0.9991000294685364,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9958999752998352,"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/T11121","display_name":"Public Relations and Crisis Communication","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/3315","display_name":"Communication"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8068661689758301},{"id":"https://openalex.org/keywords/microblogging","display_name":"Microblogging","score":0.7849465608596802},{"id":"https://openalex.org/keywords/haystack","display_name":"Haystack","score":0.7616294026374817},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6940900683403015},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.6305738687515259},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.6097257137298584},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5585748553276062},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4512733817100525},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4459739029407501},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.4434695541858673},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.43975815176963806},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.43577536940574646},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4259015917778015},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38775870203971863},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3366372585296631},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.16597849130630493}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8068661689758301},{"id":"https://openalex.org/C143275388","wikidata":"https://www.wikidata.org/wiki/Q92438","display_name":"Microblogging","level":3,"score":0.7849465608596802},{"id":"https://openalex.org/C13424479","wikidata":"https://www.wikidata.org/wiki/Q5687237","display_name":"Haystack","level":2,"score":0.7616294026374817},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6940900683403015},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.6305738687515259},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6097257137298584},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5585748553276062},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4512733817100525},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4459739029407501},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.4434695541858673},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.43975815176963806},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.43577536940574646},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4259015917778015},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38775870203971863},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3366372585296631},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.16597849130630493},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1609/aaai.v29i1.9526","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v29i1.9526","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:ojs.aaai.org:article/9526","is_oa":true,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/9526","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/9526/9385","source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v29i1.9526","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v29i1.9526","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4000968242","display_name":"\u57fa\u4e8e\u7b80\u6807\u6ce8\u548c\u5f31\u76d1\u7763\u5b66\u4e60\u7684\u5f00\u653e\u7684\u4fe1\u606f\u62bd\u53d6\u7814\u7a76","funder_award_id":"61103077","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8339036103","display_name":null,"funder_award_id":"61103077","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323026","display_name":"Aston University","ror":"https://ror.org/05j0ve876"},{"id":"https://openalex.org/F4320324856","display_name":"Southeast University","ror":"https://ror.org/04ct4d772"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W135600699","https://openalex.org/W1507094738","https://openalex.org/W1534625513","https://openalex.org/W1549229937","https://openalex.org/W1591708989","https://openalex.org/W1594112393","https://openalex.org/W1890727290","https://openalex.org/W1998032016","https://openalex.org/W2001082470","https://openalex.org/W2020360881","https://openalex.org/W2053968437","https://openalex.org/W2069557380","https://openalex.org/W2118930549","https://openalex.org/W2123661878","https://openalex.org/W2124499489","https://openalex.org/W2133990480","https://openalex.org/W2152336115","https://openalex.org/W2153848201","https://openalex.org/W2157765050","https://openalex.org/W2167978925","https://openalex.org/W2185615741","https://openalex.org/W2251758222","https://openalex.org/W4230872509","https://openalex.org/W4233787372","https://openalex.org/W4312744339","https://openalex.org/W6630516107","https://openalex.org/W6639481793","https://openalex.org/W6650793866","https://openalex.org/W6678057237","https://openalex.org/W6682403138","https://openalex.org/W6686545002"],"related_works":["https://openalex.org/W2755954602","https://openalex.org/W2182386306","https://openalex.org/W2552539366","https://openalex.org/W2107786128","https://openalex.org/W2122605835","https://openalex.org/W1553232534","https://openalex.org/W2075193160","https://openalex.org/W2360884013","https://openalex.org/W2794359421","https://openalex.org/W1041597453"],"abstract_inverted_index":{"Twitter,":[0,37],"as":[1],"a":[2,8,44,49,52,59,71,88,174],"popular":[3],"microblogging":[4],"service,":[5],"has":[6,147],"become":[7],"new":[9],"information":[10,20],"channel":[11],"for":[12,158],"users":[13,32],"to":[14,63,91],"receive":[15],"and":[16,77,115],"exchange":[17],"the":[18,84,108,124,131,137,188],"mostup-to-date":[19],"on":[21,30,36,104,150],"current":[22],"events.":[23],"However,":[24],"since":[25],"there":[26],"is":[27,168],"no":[28],"control":[29],"how":[31],"can":[33],"publish":[34],"messages":[35],"finding":[38],"newsworthy":[39],"events":[40,65,112,133],"from":[41,66,97],"Twitter":[42],"becomes":[43],"difficult":[45],"task":[46],"like":[47],"\"finding":[48],"needle":[50],"in":[51,161,170],"haystack\".":[53],"In":[54],"this":[55],"paper":[56],"we":[57],"propose":[58],"general":[60],"unsupervised":[61,120],"framework":[62,146],"explore":[64],"tweets,":[67,83,107],"which":[68,155],"consists":[69],"of":[70,74,111,126,166],"pipeline":[72],"process":[73],"filtering,":[75],"extraction":[76],"categorization.":[78],"To":[79],"filter":[80],"out":[81],"noisy":[82],"filtering":[85],"step":[86],"exploits":[87],"lexicon-based":[89],"approach":[90],"separate":[92],"tweets":[93,154],"that":[94,99],"are":[95,100,113,134,181],"event-related":[96,106],"those":[98],"not.":[101],"Then,":[102],"based":[103],"these":[105],"structured":[109],"representations":[110],"extracted":[114],"categorized":[116,132],"automatically":[117,189],"using":[118],"an":[119],"Bayesian":[121],"model":[122],"without":[123,141],"use":[125],"any":[127],"labelled":[128],"data.":[129],"Moreover,":[130],"assigned":[135,190],"with":[136,187],"event":[138,171,191],"type":[139,192],"labels":[140],"human":[142],"intervention.":[143],"The":[144],"proposed":[145],"been":[148],"evaluated":[149],"over":[151],"60":[152],"millions":[153],"were":[156],"collected":[157],"one":[159],"month":[160],"December":[162],"2010.":[163],"A":[164],"precision":[165],"70.49%":[167],"achieved":[169],"extraction,":[172],"outperforming":[173],"competitive":[175],"baseline":[176],"by":[177],"nearly":[178],"6%.":[179],"Events":[180],"also":[182],"clustered":[183],"into":[184],"coherence":[185],"groups":[186],"label.":[193]},"counts_by_year":[{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":16},{"year":2018,"cited_by_count":11},{"year":2017,"cited_by_count":10},{"year":2016,"cited_by_count":11},{"year":2015,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
