{"id":"https://openalex.org/W2943646525","doi":"https://doi.org/10.1109/iscas.2019.8702139","title":"AI Deep Learning with Multiple Labels for Sentiment Classification of Tweets","display_name":"AI Deep Learning with Multiple Labels for Sentiment Classification of Tweets","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W2943646525","doi":"https://doi.org/10.1109/iscas.2019.8702139","mag":"2943646525"},"language":"en","primary_location":{"id":"doi:10.1109/iscas.2019.8702139","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2019.8702139","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Symposium on Circuits and Systems (ISCAS)","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/A5091758218","display_name":"Ziyuan Gao","orcid":"https://orcid.org/0000-0002-4184-1418"},"institutions":[{"id":"https://openalex.org/I142974352","display_name":"National Sun Yat-sen University","ror":"https://ror.org/00mjawt10","country_code":"TW","type":"education","lineage":["https://openalex.org/I142974352"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Zi-Yuan Gao","raw_affiliation_strings":["Department of Computer Science and Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I142974352"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087434278","display_name":"Chia-Ping Chen","orcid":"https://orcid.org/0000-0002-7022-3061"},"institutions":[{"id":"https://openalex.org/I142974352","display_name":"National Sun Yat-sen University","ror":"https://ror.org/00mjawt10","country_code":"TW","type":"education","lineage":["https://openalex.org/I142974352"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chia-Ping Chen","raw_affiliation_strings":["Department of Computer Science and Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I142974352"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I142974352"],"apc_list":null,"apc_paid":null,"fwci":0.1093,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.35782304,"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":1.0,"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":1.0,"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/T10028","display_name":"Topic Modeling","score":0.9994000196456909,"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/T12488","display_name":"Mental Health via Writing","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7909644842147827},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7069638967514038},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.6608286499977112},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5851984024047852},{"id":"https://openalex.org/keywords/semeval","display_name":"SemEval","score":0.5716112852096558},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.5260244011878967},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5080173015594482},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.4807591140270233},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4744499623775482},{"id":"https://openalex.org/keywords/polarity","display_name":"Polarity (international relations)","score":0.4585364758968353},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.44725799560546875},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.44700103998184204},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4316951036453247},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12955740094184875},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.11034467816352844}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7909644842147827},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7069638967514038},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6608286499977112},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5851984024047852},{"id":"https://openalex.org/C44572571","wikidata":"https://www.wikidata.org/wiki/Q7448970","display_name":"SemEval","level":3,"score":0.5716112852096558},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.5260244011878967},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5080173015594482},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.4807591140270233},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4744499623775482},{"id":"https://openalex.org/C2777361361","wikidata":"https://www.wikidata.org/wiki/Q1112585","display_name":"Polarity (international relations)","level":3,"score":0.4585364758968353},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.44725799560546875},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.44700103998184204},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4316951036453247},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12955740094184875},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.11034467816352844},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C1491633281","wikidata":"https://www.wikidata.org/wiki/Q7868","display_name":"Cell","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas.2019.8702139","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2019.8702139","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Symposium on Circuits and Systems (ISCAS)","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":32,"referenced_works":["https://openalex.org/W1589554437","https://openalex.org/W1987425720","https://openalex.org/W2064675550","https://openalex.org/W2099813784","https://openalex.org/W2111975591","https://openalex.org/W2118463056","https://openalex.org/W2153579005","https://openalex.org/W2250243742","https://openalex.org/W2250539671","https://openalex.org/W2252278997","https://openalex.org/W2460474657","https://openalex.org/W2467186984","https://openalex.org/W2740582239","https://openalex.org/W2750747353","https://openalex.org/W2752201871","https://openalex.org/W2797944848","https://openalex.org/W2805744755","https://openalex.org/W2806801285","https://openalex.org/W2916132663","https://openalex.org/W2949709688","https://openalex.org/W2950974174","https://openalex.org/W2962677207","https://openalex.org/W2962958286","https://openalex.org/W2963223838","https://openalex.org/W2963662881","https://openalex.org/W3099845900","https://openalex.org/W3106003309","https://openalex.org/W4294170691","https://openalex.org/W6635364467","https://openalex.org/W6676744775","https://openalex.org/W6682691769","https://openalex.org/W6718766952"],"related_works":["https://openalex.org/W3116116498","https://openalex.org/W3029012650","https://openalex.org/W1988325893","https://openalex.org/W2776212826","https://openalex.org/W3214323197","https://openalex.org/W2805679416","https://openalex.org/W2117643817","https://openalex.org/W1984947604","https://openalex.org/W2805837477","https://openalex.org/W4287890639"],"abstract_inverted_index":{"We":[0,124,142,163],"introduce":[1],"an":[2],"incremental":[3,28],"transfer":[4,161],"learning":[5],"pipeline":[6],"for":[7,10,50,61,76,89,99,160],"AI":[8],"systems":[9,152],"ordinal":[11,73],"classification":[12,59,74,87,122],"based":[13],"on":[14,109,149,171],"multiple":[15,44],"labels":[16],"of":[17,169,175],"Tweets.":[18],"In":[19],"this":[20],"pipeline,":[21],"5":[22,127],"sub-models":[23,71],"are":[24,72],"trained":[25],"and":[26,37,64,69,78,101,130,146,153],"the":[27,110,150,154,172,181,184],"knowledge":[29],"is":[30,56,84,95,107,158],"transferred":[31],"to":[32,134,138],"achieve":[33,164],"higher":[34],"model":[35,60,88,98,156],"complexity":[36],"better":[38],"performance.":[39,141],"Each":[40],"training":[41],"example":[42],"has":[43],"labels,":[45],"with":[46,126],"a":[47,57,85,96,165],"target":[48],"label":[49],"each":[51],"sub-model.":[52],"The":[53,67,81,92,104],"first":[54],"sub-model":[55,83,94],"polarity":[58,100],"negative,":[62],"neutral,":[63],"positive":[65,77],"sentiments.":[66,80],"second":[68],"third":[70],"models":[75],"negative":[79],"fourth":[82],"binary":[86],"neutral":[90],"sentiment.":[91],"last":[93],"seven-class":[97],"intensity":[102],"classes.":[103],"proposed":[105,151],"method":[106],"applied":[108],"Semantic":[111],"Evaluation":[112],"2018":[113],"Task":[114,186],"1":[115,187],"Affects":[116],"in":[117,183],"Tweets":[118],"Subtask":[119,188],"V-oc":[120],"(ordinal":[121],"task).":[123],"experiment":[125],"word":[128],"embeddings,":[129],"apply":[131],"ensemble":[132],"methods":[133],"combine":[135],"their":[136],"outputs":[137],"boost":[139],"overall":[140],"use":[143],"weighted":[144],"average":[145],"stacking":[147],"technique":[148],"DeepMoji":[155],"which":[157,177],"retrained":[159],"learning.":[162],"Pearson":[166],"correlation":[167],"coefficient":[168],"0.806":[170],"test":[173],"data":[174],"SemEval-2018,":[176],"would":[178],"have":[179],"ranked":[180],"4th":[182],"SemEval-2018":[185],"V-oc.":[189]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}