{"id":"https://openalex.org/W2767421316","doi":"https://doi.org/10.1145/3132847.3132968","title":"Semi-Supervised Event-related Tweet Identification with Dynamic Keyword Generation","display_name":"Semi-Supervised Event-related Tweet Identification with Dynamic Keyword Generation","publication_year":2017,"publication_date":"2017-11-06","ids":{"openalex":"https://openalex.org/W2767421316","doi":"https://doi.org/10.1145/3132847.3132968","mag":"2767421316"},"language":"en","primary_location":{"id":"doi:10.1145/3132847.3132968","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3132847.3132968","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 ACM on Conference on Information and Knowledge Management","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/A5102021246","display_name":"Xin Zheng","orcid":"https://orcid.org/0000-0001-7310-5397"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Xin Zheng","raw_affiliation_strings":["Nanyang Technological University & SAP Research Innovation Singapore, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University & SAP Research Innovation Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100618738","display_name":"Aixin Sun","orcid":"https://orcid.org/0000-0003-0764-4258"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Aixin Sun","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100736050","display_name":"Sibo Wang","orcid":"https://orcid.org/0000-0003-1892-6971"},"institutions":[{"id":"https://openalex.org/I165143802","display_name":"University of Queensland","ror":"https://ror.org/00rqy9422","country_code":"AU","type":"education","lineage":["https://openalex.org/I165143802"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Sibo Wang","raw_affiliation_strings":["University of Queensland, Brisbane, Australia"],"affiliations":[{"raw_affiliation_string":"University of Queensland, Brisbane, Australia","institution_ids":["https://openalex.org/I165143802"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061279074","display_name":"Jialong Han","orcid":"https://orcid.org/0000-0001-5285-9210"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jialong Han","raw_affiliation_strings":["Tencent AI Lab, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Tencent AI Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102021246"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":1.8688,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.89496633,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1619","last_page":"1628"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.992900013923645,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9785000085830688,"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":0.8308667540550232},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.7537680268287659},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6449921131134033},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5465268492698669},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.5402550101280212},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5374977588653564},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4874410927295685},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.4635988771915436},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4462243914604187},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.4427134394645691},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4019649624824524},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.34458667039871216},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07871505618095398}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8308667540550232},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.7537680268287659},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6449921131134033},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5465268492698669},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.5402550101280212},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5374977588653564},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4874410927295685},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.4635988771915436},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4462243914604187},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.4427134394645691},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4019649624824524},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.34458667039871216},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07871505618095398},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.0},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3132847.3132968","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3132847.3132968","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 ACM on Conference on Information and Knowledge Management","raw_type":"proceedings-article"},{"id":"pmh:oai:espace.library.uq.edu.au:UQ:709504","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306402388","display_name":"Queensland's institutional digital repository (The University of Queensland)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I165143802","host_organization_name":"The University of Queensland","host_organization_lineage":["https://openalex.org/I165143802"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320709","display_name":"National Research Foundation Singapore","ror":"https://ror.org/03cpyc314"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1041597453","https://openalex.org/W1513874326","https://openalex.org/W1525341925","https://openalex.org/W1525595230","https://openalex.org/W1534625513","https://openalex.org/W1854214752","https://openalex.org/W1880262756","https://openalex.org/W1977931290","https://openalex.org/W2009979684","https://openalex.org/W2016973429","https://openalex.org/W2044185127","https://openalex.org/W2059039116","https://openalex.org/W2105400363","https://openalex.org/W2107628405","https://openalex.org/W2124499489","https://openalex.org/W2151098288","https://openalex.org/W2163659824","https://openalex.org/W2164551773","https://openalex.org/W2167329753","https://openalex.org/W2167770337","https://openalex.org/W2263984121","https://openalex.org/W2352369035","https://openalex.org/W2405765071","https://openalex.org/W2426031434","https://openalex.org/W2490176128","https://openalex.org/W2508578776","https://openalex.org/W2532268239","https://openalex.org/W2539280690","https://openalex.org/W2565484580","https://openalex.org/W3021047884","https://openalex.org/W4230704549","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2118758177","https://openalex.org/W4330338194","https://openalex.org/W2153520307","https://openalex.org/W2151459719","https://openalex.org/W623261610","https://openalex.org/W2316630966","https://openalex.org/W2358294942","https://openalex.org/W4367460280","https://openalex.org/W4206165639","https://openalex.org/W2050712820"],"abstract_inverted_index":{"Twitter":[0,55],"provides":[1],"us":[2],"a":[3,22,45,71,139,145],"convenient":[4],"channel":[5],"to":[6,9,20,31,48,77,150,180],"get":[7],"access":[8],"the":[10,32,85],"immediate":[11],"information":[12,137],"about":[13],"major":[14],"events.":[15],"However,":[16],"it":[17],"is":[18,117],"challenging":[19],"acquire":[21],"clean":[23],"and":[24,38,61,79,108,138],"complete":[25],"set":[26,72],"of":[27,34,59,73,110,119,122],"event-related":[28,52,65,152],"data":[29],"due":[30],"characteristics":[33],"tweets,":[35,142],"eg":[36],"short":[37],"noisy.":[39],"In":[40],"this":[41,92],"paper,":[42],"we":[43,143],"propose":[44,76,144],"semi-supervised":[46,146],"method":[47],"obtain":[49],"high":[50,162],"quality":[51,163],"tweets":[53,66],"from":[54],"stream,":[56],"in":[57,91,160,182],"terms":[58],"precision":[60],"recall.":[62],"Specifically,":[63],"candidate":[64],"are":[67,96],"selected":[68],"based":[69,98,104],"on":[70,99,105,166],"keywords.":[74],"We":[75],"generate":[78],"update":[80],"these":[81],"keywords":[82,121],"dynamically":[83],"along":[84,130],"event":[86,131],"development.":[87],"To":[88],"be":[89],"included":[90],"keyword":[93,135],"set,":[94],"words":[95],"evaluated":[97],"single":[100],"word":[101,111],"properties,":[102],"property":[103],"co-occurred":[106],"words,":[107],"changes":[109],"importance":[112,129,136],"over":[113],"time.":[114],"Our":[115],"solution":[116,174],"capable":[118],"capturing":[120],"emerging":[123],"aspects":[124,126],"or":[125],"with":[127],"increasing":[128],"evolvement.":[132],"By":[133],"leveraging":[134],"few":[140],"labeled":[141],"expectation":[147],"maximization":[148],"process":[149,155],"identify":[151],"tweets.":[153,164],"This":[154],"significantly":[156],"reduces":[157],"human":[158],"effort":[159],"acquiring":[161],"Experiments":[165],"three":[167],"real":[168],"world":[169],"datasets":[170],"show":[171],"that":[172],"our":[173],"outperforms":[175],"state-of-the-art":[176],"approaches":[177],"by":[178],"up":[179],"10%":[181],"F1":[183],"measure.":[184]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":4}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}