{"id":"https://openalex.org/W4319587066","doi":"https://doi.org/10.1109/icdmw58026.2022.00144","title":"Active Keyword Selection to Track Evolving Topics on Twitter","display_name":"Active Keyword Selection to Track Evolving Topics on Twitter","publication_year":2022,"publication_date":"2022-11-01","ids":{"openalex":"https://openalex.org/W4319587066","doi":"https://doi.org/10.1109/icdmw58026.2022.00144"},"language":"en","primary_location":{"id":"doi:10.1109/icdmw58026.2022.00144","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdmw58026.2022.00144","pdf_url":null,"source":{"id":"https://openalex.org/S4363608174","display_name":"2022 IEEE International Conference on Data Mining Workshops (ICDMW)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Data Mining Workshops (ICDMW)","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/A5080841158","display_name":"Sacha L\u00e9vy","orcid":"https://orcid.org/0000-0001-8588-1211"},"institutions":[{"id":"https://openalex.org/I4210164802","display_name":"Mila - Quebec Artificial Intelligence Institute","ror":"https://ror.org/05c22rx21","country_code":"CA","type":"facility","lineage":["https://openalex.org/I4210164802"]},{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Sacha Levy","raw_affiliation_strings":["School of Computer Science, McGill University","Mila - Quebec AI Institute, Montreal, Canada"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, McGill University","institution_ids":["https://openalex.org/I5023651"]},{"raw_affiliation_string":"Mila - Quebec AI Institute, Montreal, Canada","institution_ids":["https://openalex.org/I4210164802"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061343570","display_name":"Farimah Poursafaei","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164802","display_name":"Mila - Quebec Artificial Intelligence Institute","ror":"https://ror.org/05c22rx21","country_code":"CA","type":"facility","lineage":["https://openalex.org/I4210164802"]},{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Farimah Poursafaei","raw_affiliation_strings":["School of Computer Science, McGill University","Mila - Quebec AI Institute, Montreal, Canada"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, McGill University","institution_ids":["https://openalex.org/I5023651"]},{"raw_affiliation_string":"Mila - Quebec AI Institute, Montreal, Canada","institution_ids":["https://openalex.org/I4210164802"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057950507","display_name":"Kellin Pelrine","orcid":null},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]},{"id":"https://openalex.org/I4210164802","display_name":"Mila - Quebec Artificial Intelligence Institute","ror":"https://ror.org/05c22rx21","country_code":"CA","type":"facility","lineage":["https://openalex.org/I4210164802"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Kellin Pelrine","raw_affiliation_strings":["School of Computer Science, McGill University","Mila - Quebec AI Institute, Montreal, Canada"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, McGill University","institution_ids":["https://openalex.org/I5023651"]},{"raw_affiliation_string":"Mila - Quebec AI Institute, Montreal, Canada","institution_ids":["https://openalex.org/I4210164802"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043159673","display_name":"Reihaneh Rabbany","orcid":"https://orcid.org/0000-0003-2348-0353"},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]},{"id":"https://openalex.org/I4210164802","display_name":"Mila - Quebec Artificial Intelligence Institute","ror":"https://ror.org/05c22rx21","country_code":"CA","type":"facility","lineage":["https://openalex.org/I4210164802"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Reihaneh Rabbany","raw_affiliation_strings":["School of Computer Science, McGill University","Mila - Quebec AI Institute, Montreal, Canada"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, McGill University","institution_ids":["https://openalex.org/I5023651"]},{"raw_affiliation_string":"Mila - Quebec AI Institute, Montreal, Canada","institution_ids":["https://openalex.org/I4210164802"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5080841158"],"corresponding_institution_ids":["https://openalex.org/I4210164802","https://openalex.org/I5023651"],"apc_list":null,"apc_paid":null,"fwci":0.5823,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.64056604,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"507","last_page":"516"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9988999962806702,"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":0.9988999962806702,"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":0.9979000091552734,"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/T11147","display_name":"Misinformation and Its Impacts","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"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":0.8220746517181396},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6605364084243774},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5819521546363831},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.5677481889724731},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5370515584945679},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.4846678078174591},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4776921570301056},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.4546421766281128},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.41216713190078735},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13044780492782593}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8220746517181396},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6605364084243774},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5819521546363831},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5677481889724731},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5370515584945679},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.4846678078174591},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4776921570301056},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.4546421766281128},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.41216713190078735},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13044780492782593},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icdmw58026.2022.00144","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdmw58026.2022.00144","pdf_url":null,"source":{"id":"https://openalex.org/S4363608174","display_name":"2022 IEEE International Conference on Data Mining Workshops (ICDMW)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Data Mining Workshops (ICDMW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W136732505","https://openalex.org/W1614298861","https://openalex.org/W1735484586","https://openalex.org/W1880262756","https://openalex.org/W2022467184","https://openalex.org/W2062743812","https://openalex.org/W2109734180","https://openalex.org/W2133212379","https://openalex.org/W2146008005","https://openalex.org/W2170246630","https://openalex.org/W2222630130","https://openalex.org/W2251697431","https://openalex.org/W2251955066","https://openalex.org/W2340204089","https://openalex.org/W2463441385","https://openalex.org/W2493916176","https://openalex.org/W2604700393","https://openalex.org/W2711122919","https://openalex.org/W2782927919","https://openalex.org/W2884973659","https://openalex.org/W2904605268","https://openalex.org/W3028155537","https://openalex.org/W3034078763","https://openalex.org/W3103145424","https://openalex.org/W3134531423","https://openalex.org/W3146828429","https://openalex.org/W3169763757","https://openalex.org/W3192600070","https://openalex.org/W4206347585","https://openalex.org/W4251829904","https://openalex.org/W4281259125","https://openalex.org/W4287816507","https://openalex.org/W4385682194","https://openalex.org/W6777012294","https://openalex.org/W6794014776"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W1584628001","https://openalex.org/W2036641180","https://openalex.org/W2106813246","https://openalex.org/W3120873440","https://openalex.org/W1555885145","https://openalex.org/W2245953653","https://openalex.org/W2296388605","https://openalex.org/W2913606393","https://openalex.org/W3026336487"],"abstract_inverted_index":{"How":[0],"can":[1],"we":[2,73],"study":[3],"social":[4],"interactions":[5],"on":[6],"evolving":[7],"topics":[8,67],"at":[9],"a":[10,96,143],"mass":[11],"scale?":[12],"Over":[13],"the":[14,50,87,104,113],"past":[15],"decade,":[16],"researchers":[17],"from":[18,153],"diverse":[19],"fields":[20],"such":[21],"as":[22],"economics,":[23],"political":[24],"science,":[25],"and":[26,58,91,119],"public":[27,36],"health":[28],"have":[29],"often":[30],"done":[31],"this":[32,71],"by":[33],"querying":[34],"Twitter's":[35],"API":[37],"endpoints":[38],"with":[39,142],"hand-picked":[40],"topical":[41],"keywords":[42,60,83],"to":[43,56,61,66,84,102,149],"search":[44],"or":[45],"stream":[46],"discussions.":[47],"However,":[48],"despite":[49],"API's":[51],"accessibility,":[52],"it":[53],"remains":[54],"difficult":[55],"select":[57],"update":[59],"collect":[62],"high-quality":[63],"data":[64,151],"relevant":[65],"of":[68,106,116],"interest.":[69],"In":[70],"paper,":[72],"propose":[74],"an":[75,128],"active":[76],"learning":[77],"method":[78,108,126],"for":[79,146,157],"rapidly":[80],"refining":[81],"query":[82],"increase":[85],"both":[86],"yielded":[88],"topic":[89],"relevance":[90],"dataset":[92,101],"size.":[93],"We":[94,137],"leverage":[95],"large":[97],"open-source":[98,138],"COVID-19":[99],"Twitter":[100,154],"illustrate":[103],"applicability":[105],"our":[107,125,139],"in":[109],"tracking":[110],"Tweets":[111],"around":[112],"key":[114],"sub-topics":[115],"Vaccine,":[117],"Mask,":[118],"Lockdown.":[120],"Our":[121],"experiments":[122],"show":[123],"that":[124],"achieves":[127],"average":[129],"topic-related":[130],"keyword":[131,147],"recall":[132],"2x":[133],"higher":[134],"than":[135],"baselines.":[136],"code":[140],"along":[141],"web":[144],"interface":[145],"selection":[148],"make":[150],"collection":[152],"more":[155],"systematic":[156],"researchers.":[158]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-25T21:42:39.735039","created_date":"2025-10-10T00:00:00"}