{"id":"https://openalex.org/W2766008290","doi":"https://doi.org/10.1109/kse.2017.8119461","title":"Intent extraction from social media texts using sequential segmentation and deep learning models","display_name":"Intent extraction from social media texts using sequential segmentation and deep learning models","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2766008290","doi":"https://doi.org/10.1109/kse.2017.8119461","mag":"2766008290"},"language":"en","primary_location":{"id":"doi:10.1109/kse.2017.8119461","is_oa":false,"landing_page_url":"https://doi.org/10.1109/kse.2017.8119461","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 9th International Conference on Knowledge and Systems Engineering (KSE)","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/A5072480306","display_name":"Thai-Le Luong","orcid":null},"institutions":[{"id":"https://openalex.org/I4210093659","display_name":"University of Transport and Communications","ror":"https://ror.org/006qk6d61","country_code":"VN","type":"education","lineage":["https://openalex.org/I4210093659"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Thai-Le Luong","raw_affiliation_strings":["University of Transport and Communications, Hanoi, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Transport and Communications, Hanoi, Vietnam","institution_ids":["https://openalex.org/I4210093659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086996676","display_name":"Minh-Son Cao","orcid":null},"institutions":[{"id":"https://openalex.org/I177233841","display_name":"Vietnam National University, Hanoi","ror":"https://ror.org/02jmfj006","country_code":"VN","type":"education","lineage":["https://openalex.org/I177233841"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Minh-Son Cao","raw_affiliation_strings":["University of Engineering and Technology, Vietnam National University, Hanoi, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Engineering and Technology, Vietnam National University, Hanoi, Vietnam","institution_ids":["https://openalex.org/I177233841"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046051482","display_name":"Duc-Thang Le","orcid":null},"institutions":[{"id":"https://openalex.org/I177233841","display_name":"Vietnam National University, Hanoi","ror":"https://ror.org/02jmfj006","country_code":"VN","type":"education","lineage":["https://openalex.org/I177233841"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Duc-Thang Le","raw_affiliation_strings":["University of Engineering and Technology, Vietnam National University, Hanoi, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Engineering and Technology, Vietnam National University, Hanoi, Vietnam","institution_ids":["https://openalex.org/I177233841"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012773199","display_name":"Xuan-Hieu Phan","orcid":"https://orcid.org/0000-0002-7640-9190"},"institutions":[{"id":"https://openalex.org/I177233841","display_name":"Vietnam National University, Hanoi","ror":"https://ror.org/02jmfj006","country_code":"VN","type":"education","lineage":["https://openalex.org/I177233841"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Xuan-Hieu Phan","raw_affiliation_strings":["University of Engineering and Technology, Vietnam National University, Hanoi, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Engineering and Technology, Vietnam National University, Hanoi, Vietnam","institution_ids":["https://openalex.org/I177233841"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4458,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.87142161,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"10","issue":null,"first_page":"215","last_page":"220"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9993000030517578,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9993000030517578,"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":0.9991999864578247,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9983999729156494,"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":0.7867343425750732},{"id":"https://openalex.org/keywords/conditional-random-field","display_name":"Conditional random field","score":0.7206444144248962},{"id":"https://openalex.org/keywords/crfs","display_name":"CRFS","score":0.6307803988456726},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.6092169880867004},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.577922523021698},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5758512616157532},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.5581428408622742},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46716344356536865},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4491890072822571},{"id":"https://openalex.org/keywords/sequence-labeling","display_name":"Sequence labeling","score":0.42520755529403687},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3985934257507324},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.39300230145454407},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3679564595222473},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2757597267627716}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7867343425750732},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.7206444144248962},{"id":"https://openalex.org/C2775953691","wikidata":"https://www.wikidata.org/wiki/Q5013874","display_name":"CRFS","level":3,"score":0.6307803988456726},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6092169880867004},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.577922523021698},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5758512616157532},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.5581428408622742},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46716344356536865},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4491890072822571},{"id":"https://openalex.org/C35639132","wikidata":"https://www.wikidata.org/wiki/Q7452468","display_name":"Sequence labeling","level":3,"score":0.42520755529403687},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3985934257507324},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.39300230145454407},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3679564595222473},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2757597267627716},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/kse.2017.8119461","is_oa":false,"landing_page_url":"https://doi.org/10.1109/kse.2017.8119461","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 9th International Conference on Knowledge and Systems Engineering (KSE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1899794420","https://openalex.org/W1904365287","https://openalex.org/W1940872118","https://openalex.org/W2026449615","https://openalex.org/W2036282699","https://openalex.org/W2036743095","https://openalex.org/W2061391703","https://openalex.org/W2064675550","https://openalex.org/W2079735306","https://openalex.org/W2104071108","https://openalex.org/W2110360823","https://openalex.org/W2147880316","https://openalex.org/W2158899491","https://openalex.org/W2163375626","https://openalex.org/W2192902519","https://openalex.org/W2253491900","https://openalex.org/W2296283641","https://openalex.org/W2395683581","https://openalex.org/W2479252110","https://openalex.org/W2493916176","https://openalex.org/W2522720655","https://openalex.org/W2561032512","https://openalex.org/W2919873176","https://openalex.org/W4300554907","https://openalex.org/W4312846666","https://openalex.org/W6676574698","https://openalex.org/W6682082992","https://openalex.org/W6721601240","https://openalex.org/W6844904154"],"related_works":["https://openalex.org/W2962906565","https://openalex.org/W2798423868","https://openalex.org/W3015678144","https://openalex.org/W2076440176","https://openalex.org/W2061027419","https://openalex.org/W2140585957","https://openalex.org/W2054134081","https://openalex.org/W1675450783","https://openalex.org/W189110383","https://openalex.org/W2404235285"],"abstract_inverted_index":{"Nowadays,":[0],"users":[1],"are":[2],"much":[3],"more":[4],"willing":[5],"to":[6,27,69,92],"share":[7],"their":[8,11,17],"daily":[9],"activities,":[10],"thoughts":[12],"or":[13,86],"feelings,":[14],"and":[15,58,117,144],"even":[16],"intentions":[18],"(e.g.,":[19],"buy":[20],"an":[21,83,109],"apartment,":[22],"rent":[23],"a":[24,43,123],"car,":[25],"travel":[26],"somewhere,":[28],"etc.)":[29],"on":[30,104],"online":[31,38,59,74,192],"social":[32,75,169],"media":[33,76,170],"channels.":[34],"Understanding":[35],"intents":[36],"of":[37,167,176],"users,":[39],"therefore,":[40],"has":[41],"become":[42],"crucial":[44],"need":[45],"in":[46,139],"many":[47],"different":[48],"business":[49],"areas":[50],"like":[51],"production,":[52],"finance/banking,":[53],"real":[54,142],"estate,":[55],"tourism,":[56],"e-commerce,":[57],"marketing.":[60],"In":[61,90],"this":[62,94],"paper,":[63],"we":[64,96,132,151],"will":[65],"present":[66],"our":[67,99,130],"solutions":[68],"extract":[70,188],"intent":[71,136,177,189],"information":[72,84,190],"from":[73,191],"texts.":[77],"This":[78],"can":[79,186],"be":[80],"seen":[81],"as":[82,157,159],"extraction":[85,137],"sequential":[87],"segmentation":[88],"task.":[89],"order":[91],"perform":[93],"task,":[95,150],"have":[97,133,152],"built":[98],"machine":[100],"learning":[101,126],"models":[102],"based":[103],"conditional":[105],"random":[106],"fields":[107],"(CRFs),":[108],"advanced":[110],"statistical":[111],"graphical":[112],"model":[113],"for":[114],"sequence":[115],"data,":[116],"bidirectional":[118],"long":[119],"short-term":[120],"memory":[121],"(Bi-LSTM),":[122],"well-known":[124],"deep":[125],"model.":[127],"To":[128],"evaluate":[129],"methods,":[131],"defined":[134,153],"two":[135,140],"tasks":[138],"domains:":[141],"estate":[143],"cosmetic":[145],"&":[146],"beauty.":[147],"For":[148],"each":[149],"the":[154,161,174,183],"tag":[155],"set":[156,164],"well":[158],"prepared":[160],"labeled":[162],"data":[163],"that":[165,182],"consists":[166],"Vietnamese":[168],"text":[171],"posts":[172],"with":[173,194],"annotation":[175],"words/phrases.":[178],"Experimental":[179],"results":[180],"showed":[181],"proposed":[184],"methods":[185],"effectively":[187],"texts":[193],"significantly":[195],"high":[196],"accuracy.":[197]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
