乐胖代购免代理版

{"id":"https://openalex.org/W4221015271","doi":"https://doi.org/10.1145/3522759","title":"Social Media Event Prediction using DNN with Feedback Mechanism","display_name":"Social Media Event Prediction using DNN with Feedback Mechanism","publication_year":2022,"publication_date":"2022-03-30","ids":{"openalex":"https://openalex.org/W4221015271","doi":"https://doi.org/10.1145/3522759"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/3522759","pdf_url":null,"source":{"id":"https://openalex.org/S4210170305","display_name":"ACM Transactions on Management Information Systems","issn_l":"2158-656X","issn":["2158-656X","2158-6578"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-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/A5011383481","display_name":"Wanlun Ma","orcid":"https://orcid.org/0000-0002-6305-1740"},"institutions":[{"id":"https://openalex.org/I57093077","display_name":"Swinburne University of Technology","ror":"https://ror.org/031rekg67","country_code":"AU","type":"education","lineage":["https://openalex.org/I57093077"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Wanlun Ma","raw_affiliation_strings":["Swinburne University of Technology, Hawthorn, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"Swinburne University of Technology, Hawthorn, VIC, Australia","institution_ids":["https://openalex.org/I57093077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045531598","display_name":"Xiangyu Hu","orcid":"https://orcid.org/0000-0002-1599-5667"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xiangyu Hu","raw_affiliation_strings":["University of Technology Sydney, Ultimo, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"University of Technology Sydney, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100408399","display_name":"Chao Chen","orcid":"https://orcid.org/0000-0003-2094-9734"},"institutions":[{"id":"https://openalex.org/I86467917","display_name":"James Cook University","ror":"https://ror.org/04gsp2c11","country_code":"AU","type":"education","lineage":["https://openalex.org/I86467917"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Chao Chen","raw_affiliation_strings":["James Cook University, Douglas, QLD, Australia"],"affiliations":[{"raw_affiliation_string":"James Cook University, Douglas, QLD, Australia","institution_ids":["https://openalex.org/I86467917"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076576641","display_name":"Sheng Wen","orcid":"https://orcid.org/0000-0003-0655-666X"},"institutions":[{"id":"https://openalex.org/I57093077","display_name":"Swinburne University of Technology","ror":"https://ror.org/031rekg67","country_code":"AU","type":"education","lineage":["https://openalex.org/I57093077"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Sheng Wen","raw_affiliation_strings":["Swinburne University of Technology, Hawthorn, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"Swinburne University of Technology, Hawthorn, VIC, Australia","institution_ids":["https://openalex.org/I57093077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108782363","display_name":"Kkwang Raymond Choo","orcid":null},"institutions":[{"id":"https://openalex.org/I45438204","display_name":"The University of Texas at San Antonio","ror":"https://ror.org/01kd65564","country_code":"US","type":"education","lineage":["https://openalex.org/I45438204"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kkwang Raymond Choo","raw_affiliation_strings":["University of Texas at San Antonio, San Antonio, TX"],"affiliations":[{"raw_affiliation_string":"University of Texas at San Antonio, San Antonio, TX","institution_ids":["https://openalex.org/I45438204"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100666554","display_name":"Yang Xiang","orcid":"https://orcid.org/0000-0001-5252-0831"},"institutions":[{"id":"https://openalex.org/I57093077","display_name":"Swinburne University of Technology","ror":"https://ror.org/031rekg67","country_code":"AU","type":"education","lineage":["https://openalex.org/I57093077"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yang Xiang","raw_affiliation_strings":["Swinburne University of Technology, Hawthorn, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"Swinburne University of Technology, Hawthorn, VIC, Australia","institution_ids":["https://openalex.org/I57093077"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.087,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.999826,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":87,"max":89},"biblio":{"volume":"13","issue":"3","first_page":"1","last_page":"24"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9995,"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":0.9995,"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":0.9992,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9956,"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/baseline","display_name":"Baseline (sea)","score":0.4717734}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.79523355},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6315834},{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.58226323},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5533009},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5506562},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.53244674},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.48535934},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.4717734},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4600714},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.41647494},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.28511474},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"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/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/3522759","pdf_url":null,"source":{"id":"https://openalex.org/S4210170305","display_name":"ACM Transactions on Management Information Systems","issn_l":"2158-656X","issn":["2158-656X","2158-6578"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":55,"referenced_works":["https://openalex.org/W144670803","https://openalex.org/W1534625513","https://openalex.org/W1590495275","https://openalex.org/W1601795611","https://openalex.org/W1832693441","https://openalex.org/W1880262756","https://openalex.org/W1902027874","https://openalex.org/W1977556410","https://openalex.org/W1978717800","https://openalex.org/W1979192143","https://openalex.org/W1981974552","https://openalex.org/W1982097375","https://openalex.org/W1993110238","https://openalex.org/W1996531611","https://openalex.org/W2023666594","https://openalex.org/W2051530877","https://openalex.org/W2053968437","https://openalex.org/W2064675550","https://openalex.org/W2069300565","https://openalex.org/W2099419573","https://openalex.org/W2124499489","https://openalex.org/W2128721751","https://openalex.org/W2133487118","https://openalex.org/W2147876157","https://openalex.org/W2163867371","https://openalex.org/W2171468534","https://openalex.org/W2244985651","https://openalex.org/W2247013936","https://openalex.org/W2249859138","https://openalex.org/W2250539671","https://openalex.org/W2323881768","https://openalex.org/W2463441385","https://openalex.org/W2552870097","https://openalex.org/W2581220703","https://openalex.org/W2585021848","https://openalex.org/W2601783998","https://openalex.org/W2745188823","https://openalex.org/W2773418060","https://openalex.org/W2911964244","https://openalex.org/W2921666412","https://openalex.org/W2963704837","https://openalex.org/W2972538339","https://openalex.org/W2975429091","https://openalex.org/W2979826702","https://openalex.org/W2981399407","https://openalex.org/W3014815658","https://openalex.org/W3026126622","https://openalex.org/W3033808757","https://openalex.org/W3090415121","https://openalex.org/W3111058005","https://openalex.org/W3111533018","https://openalex.org/W3115770351","https://openalex.org/W635562148","https://openalex.org/W84854152","https://openalex.org/W88302371"],"related_works":["https://openalex.org/W4317422773","https://openalex.org/W4315588616","https://openalex.org/W3126382579","https://openalex.org/W3123667230","https://openalex.org/W3107650560","https://openalex.org/W2810542905","https://openalex.org/W2755954602","https://openalex.org/W2748952813","https://openalex.org/W2122605835","https://openalex.org/W1463179486"],"abstract_inverted_index":{"Online":[0],"social":[1,35],"networks":[2],"(OSNs)":[3],"are":[4,122],"a":[5,48,102,138,158,183,214],"rich":[6],"source":[7],"of":[8,28,34,43,59,93,112,125,157,170,185,189,216,244],"information,":[9],"and":[10,30,80,84,99,118,120,181,234],"the":[11,25,31,41,110,168,190,201,206,219,236,251],"data":[12],"(including":[13],"user-generated":[14],"content)":[15],"can":[16],"be":[17,194],"mined":[18],"to":[19,144,166,198,204],"facilitate":[20],"real-world":[21],"event":[22,44,130,146,171,232],"prediction.":[23,45,172],"However,":[24],"dynamic":[26],"nature":[27,33],"OSNs":[29],"fast-pace":[32],"events":[36,128,164,191,247],"or":[37],"hot":[38],"topics":[39],"compound":[40],"challenge":[42],"This":[46],"is":[47,115],"key":[49],"limitation":[50],"in":[51,129,133,231],"many":[52],"existing":[53],"approaches.":[54],"For":[55],"example,":[56],"our":[57],"evaluations":[58],"six":[60,237],"baseline":[61,238],"approaches":[62,114],"(i.e.,":[63],"logistic":[64,70],"regression":[65,71],"latent":[66],"Dirichlet":[67],"allocation":[68],"(LDA)-based":[69],"(LR),":[72],"multi-task":[73],"learning":[74],"(MTL),":[75],"long":[76],"short-term":[77],"memory":[78],"(LSTM)":[79],"convolutional":[81],"neural":[82],"networks,":[83],"transformer-based":[85],"model)":[86],"on":[87,162,218],"three":[88,177,221],"datasets":[89],"collected":[90],"as":[91,145],"part":[92],"this":[94,134],"research":[95],"(two":[96],"from":[97,101],"Twitter":[98],"one":[100],"news":[103],"collection":[104],"site":[105],"1":[106],"),":[107],"reveal":[108],"that":[109,226],"accuracy":[111,230],"these":[113],"between":[116],"50%":[117],"60%,":[119],"they":[121],"not":[123],"capable":[124],"utilizing":[126],"new":[127,186,246],"predictions.":[131],"Hence,":[132],"article,":[135],"we":[136,212],"develop":[137],"novel":[139],"DNN-based":[140],"framework":[141],"(hereafter":[142],"referred":[143],"prediction":[147],"with":[148],"feedback":[149,159,174,252],"mechanism\u2014":[150],"EPFM":[151,154,227],".":[152],"Specifically,":[153],"makes":[155],"use":[156],"mechanism":[160,175,253],"based":[161],"emerging":[163],"detection":[165,179,233],"improve":[167],"performance":[169],"The":[173],"ensembles":[176],"outlier":[178],"processes":[180],"returns":[182],"list":[184],"events.":[187],"Some":[188],"will":[192],"then":[193],"chosen":[195],"by":[196,248],"analysts":[197],"feed":[199],"into":[200],"fine-tuning":[202],"process":[203],"update":[205],"predictive":[207],"model.":[208],"To":[209],"evaluate":[210],"EPFM,":[211],"conduct":[213],"series":[215],"experiments":[217],"same":[220],"datasets,":[222],"whose":[223],"findings":[224],"show":[225],"achieves":[228],"80%":[229],"outperforms":[235],"approaches.We":[239],"also":[240],"validate":[241],"EPFM\u2019s":[242],"capability":[243],"detecting":[245],"empirically":[249],"analyzing":[250],"under":[254],"different":[255],"thresholds.":[256]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4221015271","counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1}],"updated_date":"2024-12-07T12:48:45.013268","created_date":"2022-04-03"}