{"id":"https://openalex.org/W3020589325","doi":"https://doi.org/10.1109/access.2020.2989428","title":"Multi-Task Learning Model Based on Multi-Scale CNN and LSTM for Sentiment Classification","display_name":"Multi-Task Learning Model Based on Multi-Scale CNN and LSTM for Sentiment Classification","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3020589325","doi":"https://doi.org/10.1109/access.2020.2989428","mag":"3020589325"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2989428","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2989428","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09076160.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09076160.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071914915","display_name":"Ning Jin","orcid":"https://orcid.org/0000-0002-5828-6908"},"institutions":[{"id":"https://openalex.org/I55538621","display_name":"China Jiliang University","ror":"https://ror.org/05v1y0t93","country_code":"CN","type":"education","lineage":["https://openalex.org/I55538621"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ning Jin","raw_affiliation_strings":["Key Laboratory of Electromagnetic Wave Information Technology and Metrology of Zhejiang Province, College of Information Engineering, China Jiliang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-5828-6908","affiliations":[{"raw_affiliation_string":"Key Laboratory of Electromagnetic Wave Information Technology and Metrology of Zhejiang Province, College of Information Engineering, China Jiliang University, Hangzhou, China","institution_ids":["https://openalex.org/I55538621"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086372615","display_name":"Jiaxian Wu","orcid":"https://orcid.org/0000-0002-3182-303X"},"institutions":[{"id":"https://openalex.org/I55538621","display_name":"China Jiliang University","ror":"https://ror.org/05v1y0t93","country_code":"CN","type":"education","lineage":["https://openalex.org/I55538621"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaxian Wu","raw_affiliation_strings":["Key Laboratory of Electromagnetic Wave Information Technology and Metrology of Zhejiang Province, College of Information Engineering, China Jiliang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-3182-303X","affiliations":[{"raw_affiliation_string":"Key Laboratory of Electromagnetic Wave Information Technology and Metrology of Zhejiang Province, College of Information Engineering, China Jiliang University, Hangzhou, China","institution_ids":["https://openalex.org/I55538621"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101646699","display_name":"Xiang Ma","orcid":"https://orcid.org/0000-0003-4269-7603"},"institutions":[{"id":"https://openalex.org/I55538621","display_name":"China Jiliang University","ror":"https://ror.org/05v1y0t93","country_code":"CN","type":"education","lineage":["https://openalex.org/I55538621"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Ma","raw_affiliation_strings":["Key Laboratory of Electromagnetic Wave Information Technology and Metrology of Zhejiang Province, College of Information Engineering, China Jiliang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-4269-7603","affiliations":[{"raw_affiliation_string":"Key Laboratory of Electromagnetic Wave Information Technology and Metrology of Zhejiang Province, College of Information Engineering, China Jiliang University, Hangzhou, China","institution_ids":["https://openalex.org/I55538621"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039611523","display_name":"Ke Yan","orcid":"https://orcid.org/0000-0002-1611-6636"},"institutions":[{"id":"https://openalex.org/I55538621","display_name":"China Jiliang University","ror":"https://ror.org/05v1y0t93","country_code":"CN","type":"education","lineage":["https://openalex.org/I55538621"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Yan","raw_affiliation_strings":["Key Laboratory of Electromagnetic Wave Information Technology and Metrology of Zhejiang Province, College of Information Engineering, China Jiliang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-1611-6636","affiliations":[{"raw_affiliation_string":"Key Laboratory of Electromagnetic Wave Information Technology and Metrology of Zhejiang Province, College of Information Engineering, China Jiliang University, Hangzhou, China","institution_ids":["https://openalex.org/I55538621"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018347033","display_name":"Yuchang Mo","orcid":"https://orcid.org/0000-0002-1976-5412"},"institutions":[{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuchang Mo","raw_affiliation_strings":["Fujian Province University Key Laboratory of Computational Science, School of Mathematical Sciences, Huaqiao University, Quanzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-1976-5412","affiliations":[{"raw_affiliation_string":"Fujian Province University Key Laboratory of Computational Science, School of Mathematical Sciences, Huaqiao University, Quanzhou, China","institution_ids":["https://openalex.org/I119045251"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":10.8328,"has_fulltext":true,"cited_by_count":125,"citation_normalized_percentile":{"value":0.98689931,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"8","issue":null,"first_page":"77060","last_page":"77072"},"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":0.9987000226974487,"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":0.9968000054359436,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.874273419380188},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7445741891860962},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.6713849306106567},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6253458261489868},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6014143228530884},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5866539478302002},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5717591047286987},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5550176501274109},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.49019724130630493},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.43867412209510803},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.42101821303367615},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.355195015668869}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.874273419380188},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7445741891860962},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.6713849306106567},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6253458261489868},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6014143228530884},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5866539478302002},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5717591047286987},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5550176501274109},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.49019724130630493},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.43867412209510803},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.42101821303367615},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.355195015668869},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2989428","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2989428","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09076160.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:9166e8e08d744324913a4065b3d7f8fe","is_oa":true,"landing_page_url":"https://doaj.org/article/9166e8e08d744324913a4065b3d7f8fe","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 77060-77072 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2989428","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2989428","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09076160.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8500000238418579,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G1471316851","display_name":null,"funder_award_id":"61850410531","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2427186669","display_name":null,"funder_award_id":"LY19F020016","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G5007298171","display_name":null,"funder_award_id":"61602431","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G8376264573","display_name":null,"funder_award_id":"61602431","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8405469860","display_name":"\u9762\u5411\u65b0\u578b\u7f51\u7edc\u7a7a\u95f4\u5b9e\u7528\u670d\u52a1\u9700\u6c42\u7684\u529f\u80fd\u52a0\u5bc6\u4f53\u5236\u7814\u7a76","funder_award_id":"61972156","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8916542202","display_name":null,"funder_award_id":"LY19F020016","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3020589325.pdf","grobid_xml":"https://content.openalex.org/works/W3020589325.grobid-xml"},"referenced_works_count":71,"referenced_works":["https://openalex.org/W1506229096","https://openalex.org/W1614298861","https://openalex.org/W1815076433","https://openalex.org/W1832693441","https://openalex.org/W2005708641","https://openalex.org/W2008443105","https://openalex.org/W2013993544","https://openalex.org/W2064675550","https://openalex.org/W2069143585","https://openalex.org/W2088750133","https://openalex.org/W2099471712","https://openalex.org/W2122369144","https://openalex.org/W2153579005","https://openalex.org/W2163302275","https://openalex.org/W2163455955","https://openalex.org/W2163605009","https://openalex.org/W2385873770","https://openalex.org/W2407776548","https://openalex.org/W2462844382","https://openalex.org/W2514722822","https://openalex.org/W2525330092","https://openalex.org/W2529550020","https://openalex.org/W2547985817","https://openalex.org/W2567406479","https://openalex.org/W2613921639","https://openalex.org/W2767547753","https://openalex.org/W2769559752","https://openalex.org/W2794259165","https://openalex.org/W2810009261","https://openalex.org/W2891076394","https://openalex.org/W2896365146","https://openalex.org/W2899934327","https://openalex.org/W2910803270","https://openalex.org/W2912977751","https://openalex.org/W2920898473","https://openalex.org/W2938440964","https://openalex.org/W2945517869","https://openalex.org/W2945943453","https://openalex.org/W2950577311","https://openalex.org/W2962779108","https://openalex.org/W2962897020","https://openalex.org/W2963428430","https://openalex.org/W2963842982","https://openalex.org/W2964319599","https://openalex.org/W2972751055","https://openalex.org/W2975109141","https://openalex.org/W2977285514","https://openalex.org/W2979437960","https://openalex.org/W2982252459","https://openalex.org/W2997163251","https://openalex.org/W2997731800","https://openalex.org/W2998567984","https://openalex.org/W2998704965","https://openalex.org/W3002783982","https://openalex.org/W3003048870","https://openalex.org/W4211186029","https://openalex.org/W4285719527","https://openalex.org/W4294170691","https://openalex.org/W4320013936","https://openalex.org/W6630206152","https://openalex.org/W6636510571","https://openalex.org/W6638545294","https://openalex.org/W6680532216","https://openalex.org/W6682691769","https://openalex.org/W6684149856","https://openalex.org/W6684191040","https://openalex.org/W6685145238","https://openalex.org/W6713582272","https://openalex.org/W6725876726","https://openalex.org/W6727374733","https://openalex.org/W6727807531"],"related_works":["https://openalex.org/W2548633793","https://openalex.org/W3013279174","https://openalex.org/W2941935829","https://openalex.org/W2596247554","https://openalex.org/W3132372214","https://openalex.org/W4224284088","https://openalex.org/W4226493464","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983"],"abstract_inverted_index":{"Sentiment":[0],"classification":[1,36,40,60,79,105],"is":[2],"an":[3],"interesting":[4],"and":[5,22,29,95,111,116,126,158,178],"crucial":[6],"research":[7],"topic":[8],"in":[9,67,153],"the":[10,34,39,44,68,76,134,139,154,161,165,168,181,188],"field":[11],"of":[12,56,119,122,141,147,167,187],"natural":[13],"language":[14],"processing":[15],"(NLP).":[16],"Data-driven":[17],"methods,":[18],"including":[19],"machine":[20],"learning":[21,24,85,131,177],"deep":[23],"techniques,":[25],"provide":[26],"one":[27],"direct":[28],"effective":[30],"solution":[31],"to":[32,124,163],"solve":[33],"sentiment":[35,59,78,104],"problem.":[37],"However,":[38],"performance":[41,166],"declines":[42],"when":[43],"input":[45],"includes":[46],"review":[47,149],"comments":[48],"for":[49,101],"multiple":[50],"tasks.":[51],"The":[52,107,129],"most":[53,186],"appropriate":[54],"way":[55],"constructing":[57],"a":[58,83,89],"model":[61,86,108,125,184],"under":[62],"multi-tasking":[63,77],"circumstances":[64],"remains":[65],"questionable":[66],"related":[69],"field.":[70],"In":[71],"this":[72],"study,":[73],"aiming":[74],"at":[75],"problem,":[80],"we":[81],"propose":[82],"multi-task":[84,102,130],"based":[87],"on":[88],"multi-scale":[90,103],"convolutional":[91],"neural":[92],"network":[93],"(CNN)":[94],"long":[96],"short":[97],"term":[98],"memory":[99],"(LSTM)":[100],"(MTL-MSCNN-LSTM).":[106],"comprehensively":[109],"utilizes":[110],"properly":[112],"handles":[113],"global":[114],"features":[115,118],"local":[117],"different":[120,145],"scales":[121],"text":[123],"represent":[127],"sentences.":[128],"framework":[132],"improves":[133],"encoder":[135],"quality,":[136],"simultaneously":[137],"improving":[138],"results":[140],"emotion":[142],"classification.":[143],"Six":[144],"types":[146],"commodity":[148],"datasets":[150],"were":[151],"employed":[152],"experiment.":[155],"Using":[156],"accuracy":[157],"F1-score":[159],"as":[160,175],"metrics":[162],"evaluate":[164],"proposed":[169,182],"model,":[170],"comparing":[171],"with":[172],"methods":[173],"such":[174],"single-task":[176],"LSTM":[179],"encoder,":[180],"MTL-MSCNN-LSTM":[183],"outperforms":[185],"existing":[189],"methods.":[190]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":25},{"year":2023,"cited_by_count":25},{"year":2022,"cited_by_count":28},{"year":2021,"cited_by_count":24},{"year":2020,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
