{"id":"https://openalex.org/W3040288720","doi":"https://doi.org/10.1109/access.2020.3007004","title":"An Approximate Model for Event Detection From Twitter Data","display_name":"An Approximate Model for Event Detection From Twitter Data","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3040288720","doi":"https://doi.org/10.1109/access.2020.3007004","mag":"3040288720"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3007004","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3007004","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09133064.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09133064.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085155786","display_name":"Aarzoo Dhiman","orcid":"https://orcid.org/0000-0002-2447-2745"},"institutions":[{"id":"https://openalex.org/I154851008","display_name":"Indian Institute of Technology Roorkee","ror":"https://ror.org/00582g326","country_code":"IN","type":"education","lineage":["https://openalex.org/I154851008"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Aarzoo Dhiman","raw_affiliation_strings":["Department of Computer Science and Engineering, IIT Roorkee, Roorkee, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, IIT Roorkee, Roorkee, India","institution_ids":["https://openalex.org/I154851008"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082753354","display_name":"Durga Toshniwal","orcid":null},"institutions":[{"id":"https://openalex.org/I154851008","display_name":"Indian Institute of Technology Roorkee","ror":"https://ror.org/00582g326","country_code":"IN","type":"education","lineage":["https://openalex.org/I154851008"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Durga Toshniwal","raw_affiliation_strings":["Department of Computer Science and Engineering, IIT Roorkee, Roorkee, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, IIT Roorkee, Roorkee, India","institution_ids":["https://openalex.org/I154851008"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5085155786"],"corresponding_institution_ids":["https://openalex.org/I154851008"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.1243,"has_fulltext":true,"cited_by_count":28,"citation_normalized_percentile":{"value":0.87263136,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"8","issue":null,"first_page":"122168","last_page":"122184"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9983000159263611,"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":0.9983000159263611,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9927999973297119,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9897000193595886,"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":0.8310455679893494},{"id":"https://openalex.org/keywords/word2vec","display_name":"Word2vec","score":0.7181388139724731},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.6030454635620117},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.567533552646637},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5035549998283386},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.49443531036376953},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48150691390037537},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.45592832565307617},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.4482465386390686},{"id":"https://openalex.org/keywords/clustering-coefficient","display_name":"Clustering coefficient","score":0.43822070956230164},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43455761671066284},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.43147188425064087},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39309853315353394},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.32815614342689514},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.32692188024520874},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.24140799045562744},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.1722864806652069}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8310455679893494},{"id":"https://openalex.org/C2776461190","wikidata":"https://www.wikidata.org/wiki/Q22673982","display_name":"Word2vec","level":3,"score":0.7181388139724731},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.6030454635620117},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.567533552646637},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5035549998283386},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.49443531036376953},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48150691390037537},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.45592832565307617},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.4482465386390686},{"id":"https://openalex.org/C22047676","wikidata":"https://www.wikidata.org/wiki/Q898680","display_name":"Clustering coefficient","level":3,"score":0.43822070956230164},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43455761671066284},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.43147188425064087},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39309853315353394},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.32815614342689514},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.32692188024520874},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.24140799045562744},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.1722864806652069},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2020.3007004","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3007004","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09133064.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:6136dae3eda4430f8cf3bfd13a43c326","is_oa":true,"landing_page_url":"https://doaj.org/article/6136dae3eda4430f8cf3bfd13a43c326","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 122168-122184 (2020)","raw_type":"article"},{"id":"pmh:oai:hull-repository.worktribe.com:4785387","is_oa":true,"landing_page_url":"https://hull-repository.worktribe.com/output/4785387","pdf_url":null,"source":{"id":"https://openalex.org/S4306400827","display_name":"Repository@Hull (Worktribe) (University of Hull)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I191240316","host_organization_name":"University of Hull","host_organization_lineage":["https://openalex.org/I191240316"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"publishedVersion"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3007004","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3007004","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09133064.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7799999713897705}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3040288720.pdf","grobid_xml":"https://content.openalex.org/works/W3040288720.grobid-xml"},"referenced_works_count":67,"referenced_works":["https://openalex.org/W11244355","https://openalex.org/W75938866","https://openalex.org/W235099231","https://openalex.org/W634635921","https://openalex.org/W775117967","https://openalex.org/W1534625513","https://openalex.org/W1614298861","https://openalex.org/W1748749724","https://openalex.org/W1901600440","https://openalex.org/W1982029265","https://openalex.org/W2003719999","https://openalex.org/W2008607062","https://openalex.org/W2044100384","https://openalex.org/W2060747203","https://openalex.org/W2079591709","https://openalex.org/W2109726592","https://openalex.org/W2114507260","https://openalex.org/W2164733043","https://openalex.org/W2166557397","https://openalex.org/W2168400688","https://openalex.org/W2187089797","https://openalex.org/W2195164399","https://openalex.org/W2250539671","https://openalex.org/W2289843914","https://openalex.org/W2398670371","https://openalex.org/W2462358393","https://openalex.org/W2581291501","https://openalex.org/W2595177560","https://openalex.org/W2604275792","https://openalex.org/W2613977835","https://openalex.org/W2618148609","https://openalex.org/W2665124875","https://openalex.org/W2740594474","https://openalex.org/W2743969099","https://openalex.org/W2766251611","https://openalex.org/W2788474500","https://openalex.org/W2789429023","https://openalex.org/W2790903485","https://openalex.org/W2792053130","https://openalex.org/W2795592311","https://openalex.org/W2798158991","https://openalex.org/W2883724305","https://openalex.org/W2885650385","https://openalex.org/W2909814607","https://openalex.org/W2912412870","https://openalex.org/W2921566896","https://openalex.org/W2938824800","https://openalex.org/W2944312134","https://openalex.org/W2947680394","https://openalex.org/W2950025803","https://openalex.org/W2950577311","https://openalex.org/W2963601337","https://openalex.org/W2971324494","https://openalex.org/W2986039727","https://openalex.org/W3103061166","https://openalex.org/W3123940584","https://openalex.org/W4294170691","https://openalex.org/W6600459962","https://openalex.org/W6622421413","https://openalex.org/W6632081347","https://openalex.org/W6636510571","https://openalex.org/W6637752377","https://openalex.org/W6651275828","https://openalex.org/W6682691769","https://openalex.org/W6748684222","https://openalex.org/W6767280078","https://openalex.org/W6999303896"],"related_works":["https://openalex.org/W2946409105","https://openalex.org/W3152932816","https://openalex.org/W2985392712","https://openalex.org/W4388996947","https://openalex.org/W3133567596","https://openalex.org/W2798009317","https://openalex.org/W4382201653","https://openalex.org/W3203949288","https://openalex.org/W3175524270","https://openalex.org/W4313247739"],"abstract_inverted_index":{"The":[0,170,212,226,248],"abundance":[1],"and":[2,114,185,239,257],"real-time":[3],"availability":[4,57],"of":[5,54,58,67,102,133,220],"Twitter":[6,155,209,254],"data":[7,81,156,210,255],"have":[8,89],"proved":[9],"beneficial":[10],"in":[11,14,43,75,140,190],"detecting":[12,34],"events":[13,35],"various":[15],"domains":[16],"such":[17,111],"as":[18,112,157],"emergency":[19],"situations,":[20],"crime":[21],"detection,":[22],"public":[23],"health,":[24],"place":[25],"recommendations,":[26],"etc.":[27],"Nevertheless,":[28],"two":[29],"critical":[30],"challenges":[31],"occur":[32],"while":[33,165,268],"using":[36,97,176],"social":[37],"media":[38],"data.":[39],"First,":[40],"the":[41,45,52,55,59,64,70,93,98,122,130,134,137,149,162,183,196,199,205,208,218,221,233,236,240,251,258,270,276],"uncertainty":[42],"capturing":[44],"contextual":[46,60,94,163,174],"relationship":[47],"among":[48,207],"tweets,":[49],"which":[50,126,160],"is":[51,214],"result":[53],"limited":[56],"information":[61,95,132,139,175],"due":[62,78],"to":[63,79,91,128,202,231,266,275],"small":[65],"length":[66],"tweets.":[68],"Second,":[69],"high":[71,143],"computation":[72,246],"cost":[73],"required":[74],"event":[76],"detection":[77],"massive":[80],"processing.":[82],"Earlier":[83],"research":[84],"works,":[85],"addressing":[86],"these":[87,117],"challenges,":[88],"tried":[90],"capture":[92,203],"by":[96],"dense":[99],"vector":[100,124,180],"representations":[101],"texts":[103],"leveraging":[104,182],"deep":[105],"neural":[106],"word":[107],"embedding":[108],"generation":[109],"models":[110,118],"Word2Vec":[113],"GloVe.":[115],"However,":[116],"are":[119],"trained":[120],"on":[121,250],"Euclidean":[123],"space":[125],"fails":[127],"amalgamate":[129],"directional":[131],"vectors":[135],"with":[136,217],"semantic":[138,187],"text,":[141],"incurring":[142],"computational":[144,168],"costs.":[145,247],"To":[146],"target":[147],"both":[148],"problems":[150],"simultaneously,":[151],"we":[152],"propose":[153],"modeling":[154],"a":[158,178,191],"graph-of-sentences":[159],"retains":[161],"relationships":[164,206],"maintaining":[166,244,269],"lower":[167],"cost.":[169],"proposed":[171],"model":[172,201],"captures":[173],"JoSE,":[177],"spherical":[179,192],"representation":[181],"word-word":[184],"word-paragraph":[186],"co-occurrence":[188],"statistics":[189],"generative":[193],"model.":[194],"Furthermore,":[195],"framework":[197],"uses":[198],"weighted-graph":[200],"all":[204],"efficiently.":[211],"graph":[213,222,227],"further":[215],"pruned":[216],"help":[219],"component":[223],"filtering":[224],"approach.":[225],"clustering":[228,242],"model,":[229],"employed":[230],"detect":[232],"events,":[234],"leverages":[235],"edge":[237],"weights":[238],"partial-k":[241],"approach":[243],"low":[245],"experimentation":[249],"annotated":[252],"benchmark":[253],"set":[256],"real-world":[259],"datasets":[260],"show":[261],"improved":[262],"run-time":[263],"performance":[264,272],"up":[265],"30%":[267],"qualitative":[271],"(F1-score)":[273],"comparable":[274],"state-of-the-art":[277],"models.":[278]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
