{"id":"https://openalex.org/W3019572535","doi":"https://doi.org/10.1109/ccis48116.2019.9073727","title":"Text multi-label sentiment analysis based on Bi-LSTM","display_name":"Text multi-label sentiment analysis based on Bi-LSTM","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3019572535","doi":"https://doi.org/10.1109/ccis48116.2019.9073727","mag":"3019572535"},"language":"en","primary_location":{"id":"doi:10.1109/ccis48116.2019.9073727","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccis48116.2019.9073727","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 6th International Conference on Cloud Computing and Intelligence Systems (CCIS)","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/A5043477487","display_name":"Junlin Hu","orcid":"https://orcid.org/0000-0002-0117-3494"},"institutions":[{"id":"https://openalex.org/I922474255","display_name":"Tokushima University","ror":"https://ror.org/044vy1d05","country_code":"JP","type":"education","lineage":["https://openalex.org/I922474255"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Junlin Hu","raw_affiliation_strings":["Faculty of Engineering, Tokushima University, Tokushima2-1, Minnami josanjima-cho, Tokushima, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Tokushima University, Tokushima2-1, Minnami josanjima-cho, Tokushima, Japan","institution_ids":["https://openalex.org/I922474255"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031861539","display_name":"Xin Kang","orcid":"https://orcid.org/0000-0001-6024-3598"},"institutions":[{"id":"https://openalex.org/I922474255","display_name":"Tokushima University","ror":"https://ror.org/044vy1d05","country_code":"JP","type":"education","lineage":["https://openalex.org/I922474255"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Xin Kang","raw_affiliation_strings":["Faculty of Engineering, Tokushima University, Tokushima2-1, Minnami josanjima-cho, Tokushima, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Tokushima University, Tokushima2-1, Minnami josanjima-cho, Tokushima, Japan","institution_ids":["https://openalex.org/I922474255"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002501266","display_name":"Shun Nishide","orcid":"https://orcid.org/0009-0004-0461-8606"},"institutions":[{"id":"https://openalex.org/I922474255","display_name":"Tokushima University","ror":"https://ror.org/044vy1d05","country_code":"JP","type":"education","lineage":["https://openalex.org/I922474255"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shun Nishide","raw_affiliation_strings":["Faculty of Engineering, Tokushima University, Tokushima2-1, Minnami josanjima-cho, Tokushima, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Tokushima University, Tokushima2-1, Minnami josanjima-cho, Tokushima, Japan","institution_ids":["https://openalex.org/I922474255"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071943346","display_name":"Fuji Ren","orcid":"https://orcid.org/0000-0003-4860-9184"},"institutions":[{"id":"https://openalex.org/I922474255","display_name":"Tokushima University","ror":"https://ror.org/044vy1d05","country_code":"JP","type":"education","lineage":["https://openalex.org/I922474255"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Fuji Ren","raw_affiliation_strings":["Faculty of Engineering, Tokushima University, Tokushima2-1, Minnami josanjima-cho, Tokushima, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Tokushima University, Tokushima2-1, Minnami josanjima-cho, Tokushima, Japan","institution_ids":["https://openalex.org/I922474255"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5043477487"],"corresponding_institution_ids":["https://openalex.org/I922474255"],"apc_list":null,"apc_paid":null,"fwci":0.28,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.68241989,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"16","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","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/T11550","display_name":"Text and Document Classification Technologies","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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9983999729156494,"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":0.9941999912261963,"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/sentiment-analysis","display_name":"Sentiment analysis","score":0.8763518929481506},{"id":"https://openalex.org/keywords/word2vec","display_name":"Word2vec","score":0.859855055809021},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7868668437004089},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6545288562774658},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5549032092094421},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41873684525489807}],"concepts":[{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.8763518929481506},{"id":"https://openalex.org/C2776461190","wikidata":"https://www.wikidata.org/wiki/Q22673982","display_name":"Word2vec","level":3,"score":0.859855055809021},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7868668437004089},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6545288562774658},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5549032092094421},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41873684525489807},{"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/ccis48116.2019.9073727","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccis48116.2019.9073727","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 6th International Conference on Cloud Computing and Intelligence Systems (CCIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1524416683","https://openalex.org/W2027266161","https://openalex.org/W2040424159","https://openalex.org/W2362866802","https://openalex.org/W2370329551","https://openalex.org/W2943769121","https://openalex.org/W3004982650","https://openalex.org/W3006655353","https://openalex.org/W6761907661","https://openalex.org/W7039893354"],"related_works":["https://openalex.org/W3003606604","https://openalex.org/W2795129682","https://openalex.org/W3040974839","https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264"],"abstract_inverted_index":{"The":[0,91],"sentiment":[1,52],"classification":[2],"is":[3,24,101],"still":[4],"one":[5],"of":[6,36,39,51,98],"the":[7,13,17,21,29,37,49,55,71,78,82,86,96],"most":[8],"popular":[9],"research":[10],"directions":[11],"in":[12,20],"past":[14],"decade.":[15],"Furthermore,":[16],"information":[18],"contained":[19],"Chinese":[22],"text":[23],"definitely":[25],"not":[26],"limited":[27],"to":[28,47,76],"positive":[30],"or":[31],"negative":[32],"emotions.":[33],"In":[34],"view":[35],"complexity":[38],"emotional":[40,99],"texts,":[41],"this":[42],"paper":[43,69],"combines":[44],"various":[45],"tags":[46],"increase":[48],"accuracy":[50,97],"analysis.":[53],"Since":[54],"traditional":[56],"methods":[57],"are":[58],"mostly":[59],"based":[60],"on":[61],"single-direction":[62],"propagation,":[63],"which":[64],"decreases":[65],"semantic":[66,83],"correlations.":[67],"This":[68],"applies":[70],"word2vec":[72],"and":[73,88],"bidirectional":[74],"LSTM":[75],"train":[77],"model":[79],"aiming":[80],"at":[81],"correlations":[84],"between":[85],"forward":[87],"backward":[89],"texts.":[90],"experiment":[92],"results":[93],"indicate":[94],"that":[95],"prediction":[100],"significantly":[102],"improved.":[103]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}