{"id":"https://openalex.org/W2794276499","doi":"https://doi.org/10.1109/itsc.2017.8317650","title":"A convolutional neural network for traffic information sensing from social media text","display_name":"A convolutional neural network for traffic information sensing from social media text","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2794276499","doi":"https://doi.org/10.1109/itsc.2017.8317650","mag":"2794276499"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2017.8317650","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2017.8317650","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100437870","display_name":"Yuanyuan Chen","orcid":"https://orcid.org/0000-0002-1886-3061"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanyuan Chen","raw_affiliation_strings":["State Key Laboratory of Management and Control for Complex Systems Institute of Automation, Chinese Academy of Sciences, Beijing, China","University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Management and Control for Complex Systems Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210094879"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076992681","display_name":"Yisheng Lv","orcid":"https://orcid.org/0000-0002-7565-4979"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yisheng Lv","raw_affiliation_strings":["State Key Laboratory of Management and Control for Complex Systems, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Management and Control for Complex Systems, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112719601","display_name":"Xiao Wang","orcid":"https://orcid.org/0000-0002-0008-0659"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112270","display_name":"Qingdao Academy of Intelligent Industries","ror":"https://ror.org/02a0rnh86","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210112270"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Wang","raw_affiliation_strings":["Qingdao Academy of Intelligent Industries, Qingdao, Shandong, China","State Key Laboratory of Management and Control for Complex Systems, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qingdao Academy of Intelligent Industries, Qingdao, Shandong, China","institution_ids":["https://openalex.org/I4210112270"]},{"raw_affiliation_string":"State Key Laboratory of Management and Control for Complex Systems, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113600509","display_name":"Fei\u2013Yue Wang","orcid":"https://orcid.org/0000-0001-9185-3989"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112270","display_name":"Qingdao Academy of Intelligent Industries","ror":"https://ror.org/02a0rnh86","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210112270"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei-Yue Wang","raw_affiliation_strings":["Qingdao Academy of Intelligent Industries, Qingdao, Shandong, China","State Key Laboratory of Management and Control for Complex Systems, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qingdao Academy of Intelligent Industries, Qingdao, Shandong, China","institution_ids":["https://openalex.org/I4210112270"]},{"raw_affiliation_string":"State Key Laboratory of Management and Control for Complex Systems, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7906816005706787},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7672004699707031},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.7400648593902588},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4105090796947479},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3782466650009155},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3646668791770935},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3425928056240082}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7906816005706787},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7672004699707031},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.7400648593902588},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4105090796947479},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3782466650009155},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3646668791770935},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3425928056240082}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc.2017.8317650","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2017.8317650","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6800000071525574,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W80494648","https://openalex.org/W295894637","https://openalex.org/W1496420048","https://openalex.org/W1538131130","https://openalex.org/W1590530764","https://openalex.org/W1614298861","https://openalex.org/W1684832230","https://openalex.org/W1832693441","https://openalex.org/W1982498087","https://openalex.org/W1984957082","https://openalex.org/W1989597542","https://openalex.org/W2009578321","https://openalex.org/W2026037750","https://openalex.org/W2053968437","https://openalex.org/W2080143441","https://openalex.org/W2108196201","https://openalex.org/W2118585731","https://openalex.org/W2120615054","https://openalex.org/W2133693888","https://openalex.org/W2133747588","https://openalex.org/W2140051110","https://openalex.org/W2141599568","https://openalex.org/W2144354855","https://openalex.org/W2153579005","https://openalex.org/W2153635508","https://openalex.org/W2166202924","https://openalex.org/W2202689739","https://openalex.org/W2212847588","https://openalex.org/W2299239789","https://openalex.org/W2340323608","https://openalex.org/W2343373727","https://openalex.org/W2350616686","https://openalex.org/W2470965300","https://openalex.org/W2528510132","https://openalex.org/W2542482265","https://openalex.org/W2557083469","https://openalex.org/W2566758857","https://openalex.org/W2950577311","https://openalex.org/W3120421331","https://openalex.org/W4294170691","https://openalex.org/W6632100814","https://openalex.org/W6635206970","https://openalex.org/W6637433751","https://openalex.org/W6677656871","https://openalex.org/W6680890276","https://openalex.org/W6682691769","https://openalex.org/W6688133116"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W4293226380","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W2590798552","https://openalex.org/W2811106690","https://openalex.org/W4239306820","https://openalex.org/W2947043951","https://openalex.org/W2318112981","https://openalex.org/W4312417841"],"abstract_inverted_index":{"Mining":[0],"social":[1,21,33,163],"media":[2,34,164],"data":[3],"to":[4,14,38,55,86,106,128,158],"obtain":[5],"traffic":[6,40,59,67,90,93,134,137,160],"relevant":[7,41,91,135],"information":[8,161],"is":[9,49,70],"an":[10],"emerging":[11],"topic":[12],"due":[13],"the":[15,44,50,63,101,113,130,169],"real-time":[16],"and":[17,52,92,136,152,184],"ubiquitous":[18],"features":[19,132],"of":[20,65,77,115,133,148,150,154],"media.":[22],"In":[23],"this":[24,144],"paper,":[25],"we":[26,98,121],"focus":[27],"on":[28,112],"a":[29,66,73,123],"specific":[30],"issue":[31],"in":[32,143],"mining":[35],"that":[36,168],"concerns":[37],"extract":[39,57,159],"microblogs":[42,88],"from":[43,162],"Sina":[45],"Weibo":[46],"platform,":[47],"which":[48],"first":[51],"essential":[53],"step":[54],"further":[56],"detailed":[58],"information,":[60],"such":[61],"as":[62],"location":[64],"incident.":[68],"It":[69],"transformed":[71],"into":[72,89],"machine":[74,180],"learning":[75,172],"problem":[76],"short":[78],"text":[79],"classification.":[80],"We":[81],"employ":[82],"deep":[83,155,171],"neural":[84,125,156],"networks":[85,157],"classify":[87],"irrelevant":[94,138],"ones.":[95],"More":[96],"specifically,":[97],"firstly":[99],"adopt":[100],"continuous":[102],"bag-of-word":[103],"(CBOW)":[104],"model":[105],"learn":[107,129],"word":[108],"embedding":[109],"representations":[110],"based":[111,182,188],"dataset":[114],"three":[116],"billion":[117],"unlabeled":[118],"microblogs.":[119,139],"Next":[120],"use":[122,147],"convolutional":[124],"network":[126],"(CNN)":[127],"abstract":[131],"The":[140],"key":[141],"advances":[142],"paper":[145],"are:":[146],"semantics":[149],"words":[151],"deployment":[153],"text.":[165],"Experiments":[166],"show":[167],"proposed":[170],"method":[173,183],"has":[174],"superior":[175],"performance":[176],"over":[177],"support":[178],"vector":[179],"(SVM)":[181],"multi-layer":[185],"perceptron":[186],"(MLP)":[187],"method.":[189]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}