{"id":"https://openalex.org/W2258705901","doi":"https://doi.org/10.1145/2808797.2809413","title":"Social Event Extraction","display_name":"Social Event Extraction","publication_year":2015,"publication_date":"2015-08-25","ids":{"openalex":"https://openalex.org/W2258705901","doi":"https://doi.org/10.1145/2808797.2809413","mag":"2258705901"},"language":"en","primary_location":{"id":"doi:10.1145/2808797.2809413","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2808797.2809413","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015","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/A5100348668","display_name":"Hao Li","orcid":"https://orcid.org/0000-0002-9923-4346"},"institutions":[{"id":"https://openalex.org/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hao Li","raw_affiliation_strings":["Computer Science, Rensselaer Polytechnic Institute, Troy, New York 12180"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science, Rensselaer Polytechnic Institute, Troy, New York 12180","institution_ids":["https://openalex.org/I165799507"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103178893","display_name":"Heng Ji","orcid":"https://orcid.org/0000-0002-7954-7994"},"institutions":[{"id":"https://openalex.org/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Heng Ji","raw_affiliation_strings":["Computer Science, Rensselaer Polytechnic Institute, Troy, New York 12180"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science, Rensselaer Polytechnic Institute, Troy, New York 12180","institution_ids":["https://openalex.org/I165799507"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110190620","display_name":"Lin Zhao","orcid":"https://orcid.org/0000-0003-0245-8413"},"institutions":[{"id":"https://openalex.org/I4210120115","display_name":"Robert Bosch (United States)","ror":"https://ror.org/02venad53","country_code":"US","type":"company","lineage":["https://openalex.org/I4210120115","https://openalex.org/I889804353"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lin Zhao","raw_affiliation_strings":["Research and Technology Center, Robert Bosch LLC, Palo Alto, California 94304"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research and Technology Center, Robert Bosch LLC, Palo Alto, California 94304","institution_ids":["https://openalex.org/I4210120115"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0288,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.78946185,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"526","last_page":"532"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9980999827384949,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9980999827384949,"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":0.996999979019165,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.8296207785606384},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.823984682559967},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.8112571239471436},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7117712497711182},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.5150749087333679},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.5032030940055847},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.47520288825035095},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.46653228998184204},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.46468260884284973},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.4435597062110901},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4109935760498047},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34456169605255127}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8296207785606384},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.823984682559967},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.8112571239471436},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7117712497711182},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.5150749087333679},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.5032030940055847},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.47520288825035095},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.46653228998184204},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.46468260884284973},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.4435597062110901},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4109935760498047},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34456169605255127},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2808797.2809413","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2808797.2809413","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G948678646","display_name":null,"funder_award_id":"W911NF-09-2-0053","funder_id":"https://openalex.org/F4320338295","funder_display_name":"Army Research Laboratory"}],"funders":[{"id":"https://openalex.org/F4320338295","display_name":"Army Research Laboratory","ror":"https://ror.org/011hc8f90"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W11244355","https://openalex.org/W75938866","https://openalex.org/W1505080550","https://openalex.org/W1505544955","https://openalex.org/W1534625513","https://openalex.org/W1972338643","https://openalex.org/W1976146430","https://openalex.org/W1998032016","https://openalex.org/W2019288369","https://openalex.org/W2046240631","https://openalex.org/W2047298125","https://openalex.org/W2062088920","https://openalex.org/W2096765155","https://openalex.org/W2108743083","https://openalex.org/W2114737762","https://openalex.org/W2115792525","https://openalex.org/W2123661878","https://openalex.org/W2130714105","https://openalex.org/W2134033474","https://openalex.org/W2140427797","https://openalex.org/W2145833060","https://openalex.org/W2151848474","https://openalex.org/W2152336115","https://openalex.org/W2153635508","https://openalex.org/W2153848201","https://openalex.org/W2158847908","https://openalex.org/W2165516035","https://openalex.org/W2165962657","https://openalex.org/W2168400688","https://openalex.org/W2251758222","https://openalex.org/W2531563875","https://openalex.org/W2733628661","https://openalex.org/W4213168938","https://openalex.org/W4253694105","https://openalex.org/W6630396373","https://openalex.org/W6682403138"],"related_works":["https://openalex.org/W2361861616","https://openalex.org/W2263699433","https://openalex.org/W2377979023","https://openalex.org/W2218034408","https://openalex.org/W2392921965","https://openalex.org/W2378211422","https://openalex.org/W2358755282","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2295917292"],"abstract_inverted_index":{"Social":[0],"media":[1],"(e.g.,":[2],"Facebook":[3],"and":[4,14,28,89,120,161],"Twitter)":[5],"serves":[6],"as":[7,24],"a":[8,43,51,61,122],"popular":[9],"platform":[10],"for":[11,37,124,135],"online":[12],"communication":[13],"information":[15,22,33],"dissemination,":[16],"where":[17],"users":[18],"can":[19,173],"effectively":[20,99],"share":[21],"such":[23,70],"their":[25,163],"recent":[26],"activities":[27],"plans.":[29],"This":[30],"kind":[31],"of":[32,113],"is":[34],"extremely":[35],"valuable":[36],"building":[38],"recommendation":[39],"systems.":[40],"For":[41],"example,":[42],"user":[44],"might":[45],"wish":[46],"to":[47,101,147,156],"receive":[48],"alerts":[49],"whenever":[50],"concert":[52],"takes":[53],"place":[54],"near":[55],"his":[56,67],"current":[57],"location":[58],"or":[59],"when":[60],"party":[62],"will":[63],"be":[64,74,98],"held":[65],"in":[66],"neighborhood.":[68],"However,":[69],"events":[71,177],"may":[72],"not":[73,81],"widespread":[75],"across":[76],"social":[77,114,139,176,179],"networks,":[78],"they":[79],"have":[80],"received":[82],"sufficient":[83],"attention.":[84],"Moreover,":[85],"traditional":[86],"event":[87,90,149,159],"discovery":[88],"extraction":[91],"techniques":[92],"trained":[93],"from":[94,138,178],"formal":[95,111],"genres":[96],"cannot":[97],"adapted":[100],"this":[102,105],"domain.":[103],"In":[104],"paper,":[106],"we":[107,130],"present":[108],"the":[109,117,125],"first":[110],"definition":[112],"events,":[115],"discuss":[116],"annotation":[118],"challenges":[119],"release":[121],"benchmark":[123],"research":[126],"community.":[127],"Further":[128],"more,":[129],"propose":[131],"two":[132],"novel":[133],"solutions":[134],"extracting":[136],"elements":[137],"events:":[140],"(1)":[141],"an":[142],"unsupervised":[143],"content":[144],"segmentation":[145],"framework":[146],"extract":[148,175],"phrases":[150],"(2)":[151],"utilize":[152],"external":[153],"knowledge":[154],"bases":[155],"detect":[157],"fine-grained":[158],"locations":[160],"unveil":[162],"background":[164],"information.":[165],"Experimental":[166],"results":[167],"convincingly":[168],"demonstrate":[169],"that":[170],"our":[171],"approach":[172],"accurately":[174],"media.":[180]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
