{"id":"https://openalex.org/W3116962816","doi":"https://doi.org/10.1109/o-cocosda50338.2020.9295031","title":"Intent Classification on Myanmar Social Media Data in Telecommunication Domain Using Convolutional Neural Network and Word2Vec","display_name":"Intent Classification on Myanmar Social Media Data in Telecommunication Domain Using Convolutional Neural Network and Word2Vec","publication_year":2020,"publication_date":"2020-11-05","ids":{"openalex":"https://openalex.org/W3116962816","doi":"https://doi.org/10.1109/o-cocosda50338.2020.9295031","mag":"3116962816"},"language":"en","primary_location":{"id":"doi:10.1109/o-cocosda50338.2020.9295031","is_oa":false,"landing_page_url":"https://doi.org/10.1109/o-cocosda50338.2020.9295031","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 23rd Conference of the Oriental COCOSDA International Committee for the Co-ordination and Standardisation of Speech Databases and Assessment Techniques (O-COCOSDA)","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/A5071939197","display_name":"Thet Naing Tun","orcid":null},"institutions":[{"id":"https://openalex.org/I80293557","display_name":"University of Computer Studies Yangon","ror":"https://ror.org/019ad8130","country_code":"MM","type":"education","lineage":["https://openalex.org/I80293557"]}],"countries":["MM"],"is_corresponding":true,"raw_author_name":"Thet Naing Tun","raw_affiliation_strings":["University of Computer Studies, Yangon, Yangon, Myanmar"],"affiliations":[{"raw_affiliation_string":"University of Computer Studies, Yangon, Yangon, Myanmar","institution_ids":["https://openalex.org/I80293557"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113788066","display_name":"Khin Mar Soe","orcid":null},"institutions":[{"id":"https://openalex.org/I80293557","display_name":"University of Computer Studies Yangon","ror":"https://ror.org/019ad8130","country_code":"MM","type":"education","lineage":["https://openalex.org/I80293557"]}],"countries":["MM"],"is_corresponding":false,"raw_author_name":"Khin Mar Soe","raw_affiliation_strings":["Natural Language Processing Lab, University of Computer Studies, Yangon, Yangon, Myanmar"],"affiliations":[{"raw_affiliation_string":"Natural Language Processing Lab, University of Computer Studies, Yangon, Yangon, Myanmar","institution_ids":["https://openalex.org/I80293557"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5071939197"],"corresponding_institution_ids":["https://openalex.org/I80293557"],"apc_list":null,"apc_paid":null,"fwci":0.1326,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.57333394,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9995999932289124,"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":0.9995999932289124,"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/T11550","display_name":"Text and Document Classification Technologies","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/T11644","display_name":"Spam and Phishing Detection","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/word2vec","display_name":"Word2vec","score":0.968064546585083},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8070824146270752},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.697755753993988},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6390048861503601},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5980515480041504},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.5155589580535889},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5049532055854797},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4482347369194031},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43744397163391113},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38888680934906006},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32170969247817993},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.23486614227294922}],"concepts":[{"id":"https://openalex.org/C2776461190","wikidata":"https://www.wikidata.org/wiki/Q22673982","display_name":"Word2vec","level":3,"score":0.968064546585083},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8070824146270752},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.697755753993988},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6390048861503601},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5980515480041504},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5155589580535889},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5049532055854797},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4482347369194031},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43744397163391113},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38888680934906006},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32170969247817993},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.23486614227294922},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/o-cocosda50338.2020.9295031","is_oa":false,"landing_page_url":"https://doi.org/10.1109/o-cocosda50338.2020.9295031","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 23rd Conference of the Oriental COCOSDA International Committee for the Co-ordination and Standardisation of Speech Databases and Assessment Techniques (O-COCOSDA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1560851690","https://openalex.org/W1832693441","https://openalex.org/W2215041843","https://openalex.org/W2505144057","https://openalex.org/W2580878117","https://openalex.org/W3011883770","https://openalex.org/W3084338029","https://openalex.org/W6782994843"],"related_works":["https://openalex.org/W2980729574","https://openalex.org/W1560851690","https://openalex.org/W3092047717","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W3008584592","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3029198973"],"abstract_inverted_index":{"Nowadays,":[0],"people":[1],"widely":[2],"use":[3],"social":[4,21,58,133,138,157],"media":[5,59,139,158],"and":[6,142,169,173],"spend":[7],"more":[8,44],"time":[9],"on":[10,49,57,116],"that.":[11],"Intentions":[12],"behind":[13],"users'":[14,40,54,89],"generated":[15,55],"content":[16],"can":[17,42],"be":[18,78],"ranged":[19],"from":[20,137,162],"good":[22],"to":[23,70,86,91,105,146,180],"feedbacks":[24,168],"about":[25],"the":[26,34,50,81,88,94,117,150,155,177,181,184,188],"service":[27],"or":[28],"product":[29],"of":[30,36,53,93,99,192],"a":[31,125,131],"company.":[32],"With":[33],"help":[35],"deep":[37],"learning":[38],"models,":[39],"intentions":[41],"classify":[43,87],"accurately.":[45],"This":[46],"paper":[47],"focuses":[48],"intent":[51],"classification":[52],"comments":[56,90,161],"posted":[60],"in":[61,149],"Myanmar":[62],"text.":[63],"In":[64],"this":[65],"paper,":[66],"Word2Vec":[67,107],"is":[68,103,130,154],"used":[69,104],"convert":[71],"words":[72],"into":[73],"vector":[74],"representations,":[75],"which":[76],"will":[77],"input":[79],"for":[80,176],"Convolutional":[82],"Neural":[83,120],"Networks":[84],"(CNN)":[85],"one":[92],"pre-defined":[95],"classes.":[96],"Continuous":[97],"Bag":[98],"Words":[100],"(CBOW)":[101],"architecture":[102],"train":[106],"model.":[108,178],"The":[109],"proposed":[110,151,185],"model's":[111],"comparative":[112],"experiment":[113],"was":[114],"performed":[115],"baseline":[118],"Recurrent":[119],"Network":[121],"(RNN)":[122],"model":[123,186],"with":[124],"single":[126],"recurrent":[127],"layer.":[128],"Facebook":[129],"target":[132,156],"medial":[134],"platform.":[135],"Content":[136],"are":[140,165],"domain-independent":[141],"makes":[143],"it":[144],"difficult":[145],"classify.":[147],"So,":[148],"model,":[152],"telecommunication":[153],"domain.":[159],"Users'":[160],"that":[163],"domain":[164],"regarded":[166],"as":[167,171],"collected":[170],"training":[172],"testing":[174],"data":[175],"According":[179],"experimental":[182],"result,":[183],"outperforms":[187],"average":[189],"F-Score":[190],"value":[191],"0.94":[193],"over":[194],"RNN.":[195]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
