{"id":"https://openalex.org/W4394564924","doi":"https://doi.org/10.1109/iske60036.2023.10481342","title":"Automatic Identification of Helpful Information on Social Media During Natural Disaster Based on Word2Vec and Bert","display_name":"Automatic Identification of Helpful Information on Social Media During Natural Disaster Based on Word2Vec and Bert","publication_year":2023,"publication_date":"2023-11-17","ids":{"openalex":"https://openalex.org/W4394564924","doi":"https://doi.org/10.1109/iske60036.2023.10481342"},"language":"en","primary_location":{"id":"doi:10.1109/iske60036.2023.10481342","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iske60036.2023.10481342","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 18th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","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/A5100607273","display_name":"Lei Shi","orcid":"https://orcid.org/0000-0001-8458-3941"},"institutions":[{"id":"https://openalex.org/I222723317","display_name":"China Association for Science and Technology","ror":"https://ror.org/035vmht26","country_code":"CN","type":"facility","lineage":["https://openalex.org/I222723317"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lei Shi","raw_affiliation_strings":["National Academy of Innovation Strategy,China Association for Science and Technology,Beijing,China","China Association for Science and Technology, National Academy of Innovation Strategy, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Academy of Innovation Strategy,China Association for Science and Technology,Beijing,China","institution_ids":["https://openalex.org/I222723317"]},{"raw_affiliation_string":"China Association for Science and Technology, National Academy of Innovation Strategy, Beijing, China","institution_ids":["https://openalex.org/I222723317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108917989","display_name":"Daiying Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daiying Zhao","raw_affiliation_strings":["Xi&#x0027;an JiaoTong University,Shaanxi,China"],"affiliations":[{"raw_affiliation_string":"Xi&#x0027;an JiaoTong University,Shaanxi,China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100607273"],"corresponding_institution_ids":["https://openalex.org/I222723317"],"apc_list":null,"apc_paid":null,"fwci":0.5245,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.73512337,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"234","last_page":"239"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9395999908447266,"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":0.9395999908447266,"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/T14042","display_name":"Technology and Security Systems","score":0.9211999773979187,"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/word2vec","display_name":"Word2vec","score":0.9179495573043823},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6945141553878784},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6899416446685791},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.6367623805999756},{"id":"https://openalex.org/keywords/natural-disaster","display_name":"Natural disaster","score":0.48645374178886414},{"id":"https://openalex.org/keywords/microblogging","display_name":"Microblogging","score":0.41338279843330383},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.39475589990615845},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3706924617290497},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.35467925667762756},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29980942606925964},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06426912546157837}],"concepts":[{"id":"https://openalex.org/C2776461190","wikidata":"https://www.wikidata.org/wiki/Q22673982","display_name":"Word2vec","level":3,"score":0.9179495573043823},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6945141553878784},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6899416446685791},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6367623805999756},{"id":"https://openalex.org/C166566181","wikidata":"https://www.wikidata.org/wiki/Q8065","display_name":"Natural disaster","level":2,"score":0.48645374178886414},{"id":"https://openalex.org/C143275388","wikidata":"https://www.wikidata.org/wiki/Q92438","display_name":"Microblogging","level":3,"score":0.41338279843330383},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.39475589990615845},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3706924617290497},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.35467925667762756},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29980942606925964},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06426912546157837},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iske60036.2023.10481342","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iske60036.2023.10481342","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 18th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.8500000238418579,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W50740790","https://openalex.org/W71912906","https://openalex.org/W1614298861","https://openalex.org/W1832693441","https://openalex.org/W1980693759","https://openalex.org/W1982300822","https://openalex.org/W2012270501","https://openalex.org/W2057301737","https://openalex.org/W2076753448","https://openalex.org/W2133663956","https://openalex.org/W2151098288","https://openalex.org/W2281061340","https://openalex.org/W2407776548","https://openalex.org/W2756898362","https://openalex.org/W2789588920","https://openalex.org/W2896457183","https://openalex.org/W2938605869","https://openalex.org/W3040427204","https://openalex.org/W3165821013","https://openalex.org/W4206228620","https://openalex.org/W4239510810","https://openalex.org/W4384157279","https://openalex.org/W4385245566","https://openalex.org/W6602881073","https://openalex.org/W6636510571","https://openalex.org/W6713582272","https://openalex.org/W6755207826"],"related_works":["https://openalex.org/W2728430307","https://openalex.org/W2370508628","https://openalex.org/W2107786128","https://openalex.org/W2053241453","https://openalex.org/W2153980712","https://openalex.org/W2537388533","https://openalex.org/W2978974359","https://openalex.org/W2036556872","https://openalex.org/W2021183651","https://openalex.org/W2017590198"],"abstract_inverted_index":{"Social":[0],"media":[1,116,147],"plays":[2],"an":[3],"important":[4],"role":[5],"in":[6,114,149,223],"natural":[7],"disaster":[8,58,226],"rescue,":[9],"which":[10,61],"facilitates":[11],"the":[12,19,23,30,36,65,82,86,90,97,106,129,136,179,203,211],"government's":[13],"understanding":[14],"of":[15,21,25,38,47,67,85,92,99,108,131,183],"situation":[16],"awareness.":[17],"In":[18,124],"event":[20],"disaster,":[22],"amount":[24],"assistance-related":[26],"information":[27,51,113],"published":[28],"on":[29,168],"network":[31],"has":[32,217],"increased":[33],"significantly,":[34],"and":[35,41,49,70,94,105,170,192,220],"workload":[37],"manual":[39],"screening":[40],"identification":[42,46],"is":[43,52,206],"huge.":[44],"Automatic":[45],"help-seeking":[48],"help-providing":[50],"crucial":[53],"for":[54,78],"effective":[55],"response":[56],"to":[57,75,120,161,177,198],"relief":[59],"work,":[60],"can":[62,88],"greatly":[63,95],"reduce":[64],"burden":[66],"human":[68,73],"resources":[69,74],"enable":[71],"more":[72],"be":[76],"used":[77,176],"rescue":[79,93,227],"work.":[80],"And":[81],"all-weather":[83],"work":[84],"model":[87,205],"ensure":[89],"timeliness":[91],"improve":[96],"speed":[98],"emergency":[100],"response.":[101],"However,":[102],"data":[103],"overload":[104],"full":[107],"irrelevant,":[109],"misleading,":[110],"or":[111],"inaccurate":[112],"social":[115,146],"make":[117],"it":[118],"challenging":[119],"extract":[121],"meaningful":[122],"insights.":[123],"this":[125],"paper,":[126],"we":[127,152,186],"collect":[128],"dataset":[130],"2021":[132],"Henan":[133],"rainstorm":[134],"under":[135],"rescue-related":[137],"hashtags,":[138],"including":[139],"38,007":[140],"microblogs":[141],"from":[142],"Weibo,":[143],"a":[144,163],"Twitter-like":[145],"platform":[148],"China.":[150],"Firstly,":[151],"combine":[153],"text":[154,196],"explicit":[155],"features":[156,182],"(bag-of-words)":[157],"with":[158,194,210],"domain-expert":[159],"knowledge":[160],"construct":[162],"labeled":[164],"dataset.":[165],"Then,":[166,185],"based":[167],"Word2Vec":[169],"Bert,":[171],"word":[172],"embedding":[173],"techniques":[174],"are":[175],"explore":[178],"implicit":[180],"semantic":[181],"microblogs.":[184],"employ":[187],"SVM,":[188],"TextCNN,":[189],"LSTM,":[190],"BiLSTM":[191],"Transformer":[193],"different":[195],"feature":[197],"conduct":[199],"comprehensive":[200],"comparison.":[201],"Finally,":[202],"optimal":[204],"determined":[207],"as":[208],"BiLSTM-bert":[209],"highest":[212],"accuracy":[213],"98.87%.":[214],"This":[215],"study":[216],"substantial":[218],"academic":[219],"practical":[221],"value":[222],"improving":[224],"government":[225],"efficiency.":[228]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-02-25T08:12:03.925757","created_date":"2025-10-10T00:00:00"}
