{"id":"https://openalex.org/W3003048870","doi":"https://doi.org/10.1109/taslp.2019.2959251","title":"Tree-Structured Regional CNN-LSTM Model for Dimensional Sentiment Analysis","display_name":"Tree-Structured Regional CNN-LSTM Model for Dimensional Sentiment Analysis","publication_year":2019,"publication_date":"2019-12-13","ids":{"openalex":"https://openalex.org/W3003048870","doi":"https://doi.org/10.1109/taslp.2019.2959251","mag":"3003048870"},"language":"en","primary_location":{"id":"doi:10.1109/taslp.2019.2959251","is_oa":true,"landing_page_url":"https://doi.org/10.1109/taslp.2019.2959251","pdf_url":"https://ieeexplore.ieee.org/ielx7/6570655/8938144/08930925.pdf","source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"is_oa":false,"is_in_doaj":false,"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/ACM Transactions on Audio, Speech, and Language Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ieeexplore.ieee.org/ielx7/6570655/8938144/08930925.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113414416","display_name":"Jin Wang","orcid":"https://orcid.org/0000-0002-8298-4378"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Wang","raw_affiliation_strings":["School of Information Science and Engineering, Yunnan University, Kunming, China"],"raw_orcid":"https://orcid.org/0000-0002-8298-4378","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085633092","display_name":"Liang-Chih Yu","orcid":"https://orcid.org/0000-0003-1443-4347"},"institutions":[{"id":"https://openalex.org/I99908691","display_name":"Yuan Ze University","ror":"https://ror.org/01fv1ds98","country_code":"TW","type":"education","lineage":["https://openalex.org/I99908691"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Liang-Chih Yu","raw_affiliation_strings":["Department of Information Management, Yuan Ze University, Taoyuan, Taiwan"],"raw_orcid":"https://orcid.org/0000-0003-1443-4347","affiliations":[{"raw_affiliation_string":"Department of Information Management, Yuan Ze University, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I99908691"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044292096","display_name":"K. Robert Lai","orcid":"https://orcid.org/0000-0002-3365-3927"},"institutions":[{"id":"https://openalex.org/I99908691","display_name":"Yuan Ze University","ror":"https://ror.org/01fv1ds98","country_code":"TW","type":"education","lineage":["https://openalex.org/I99908691"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"K. Robert Lai","raw_affiliation_strings":["Department of Computer Science and Engineering, Yuan Ze University, Taoyuan, Taiwan"],"raw_orcid":"https://orcid.org/0000-0002-3365-3927","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Yuan Ze University, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I99908691"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109266150","display_name":"Xuejie Zhang","orcid":"https://orcid.org/0000-0002-8298-4378"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuejie Zhang","raw_affiliation_strings":["School of Information Science and Engineering, Yunnan University, Kunming, China"],"raw_orcid":"https://orcid.org/0000-0002-8298-4378","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":10.6199,"has_fulltext":true,"cited_by_count":140,"citation_normalized_percentile":{"value":0.98564739,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"28","issue":null,"first_page":"581","last_page":"591"},"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9925000071525574,"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":0.9890000224113464,"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":0.821889340877533},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.788710355758667},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7001333236694336},{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.6183380484580994},{"id":"https://openalex.org/keywords/lexicon","display_name":"Lexicon","score":0.534368097782135},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5017874240875244},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4202798306941986},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4121183753013611},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4110690951347351},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34231728315353394},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09170287847518921}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.821889340877533},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.788710355758667},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7001333236694336},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.6183380484580994},{"id":"https://openalex.org/C2778121359","wikidata":"https://www.wikidata.org/wiki/Q8096","display_name":"Lexicon","level":2,"score":0.534368097782135},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5017874240875244},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4202798306941986},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4121183753013611},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4110690951347351},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34231728315353394},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09170287847518921},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taslp.2019.2959251","is_oa":true,"landing_page_url":"https://doi.org/10.1109/taslp.2019.2959251","pdf_url":"https://ieeexplore.ieee.org/ielx7/6570655/8938144/08930925.pdf","source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"is_oa":false,"is_in_doaj":false,"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/ACM Transactions on Audio, Speech, and Language Processing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1109/taslp.2019.2959251","is_oa":true,"landing_page_url":"https://doi.org/10.1109/taslp.2019.2959251","pdf_url":"https://ieeexplore.ieee.org/ielx7/6570655/8938144/08930925.pdf","source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"is_oa":false,"is_in_doaj":false,"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/ACM Transactions on Audio, Speech, and Language Processing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5099999904632568,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G1762151700","display_name":"Topic Adaptation for Dimensional Sentiment Recognition","funder_award_id":"MOST107-2628-E155-002-MY3","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"},{"id":"https://openalex.org/G1801391925","display_name":"\u9762\u5411\u5c0f\u8bed\u79cd\u7684\u9ad8\u6027\u80fd\u6587\u672c\u60c5\u611f\u5206\u6790\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61762091","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G19285123","display_name":null,"funder_award_id":"61702443","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3061438829","display_name":"\u57fa\u4e8e\u591a\u7ef4\u5ea6\u8fde\u7eed\u60c5\u611f\u7a7a\u95f4\u7684\u6587\u672c\u751f\u6210\u6280\u672f\u7814\u7a76","funder_award_id":"61966038","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G497937365","display_name":null,"funder_award_id":"MOST 107?","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"},{"id":"https://openalex.org/G793158727","display_name":"Interactive Spoken Home Companion and Recommendation System for Independent Elderly( III )","funder_award_id":"MOST107-2218-E006-008","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3003048870.pdf","grobid_xml":"https://content.openalex.org/works/W3003048870.grobid-xml"},"referenced_works_count":68,"referenced_works":["https://openalex.org/W319996907","https://openalex.org/W950853366","https://openalex.org/W1494915295","https://openalex.org/W1614298861","https://openalex.org/W1771834303","https://openalex.org/W1832693441","https://openalex.org/W1966797434","https://openalex.org/W1993618309","https://openalex.org/W2005708641","https://openalex.org/W2023736093","https://openalex.org/W2031998113","https://openalex.org/W2034995091","https://openalex.org/W2044937105","https://openalex.org/W2063596712","https://openalex.org/W2067767241","https://openalex.org/W2077132576","https://openalex.org/W2097726431","https://openalex.org/W2108646579","https://openalex.org/W2117645142","https://openalex.org/W2120615054","https://openalex.org/W2144012961","https://openalex.org/W2149628368","https://openalex.org/W2151543699","https://openalex.org/W2153579005","https://openalex.org/W2155227495","https://openalex.org/W2156191441","https://openalex.org/W2157331557","https://openalex.org/W2167557160","https://openalex.org/W2250473257","https://openalex.org/W2250539671","https://openalex.org/W2250553934","https://openalex.org/W2251805006","https://openalex.org/W2251939518","https://openalex.org/W2252024663","https://openalex.org/W2252128625","https://openalex.org/W2252754650","https://openalex.org/W2265846598","https://openalex.org/W2339570520","https://openalex.org/W2468684362","https://openalex.org/W2468785836","https://openalex.org/W2470673105","https://openalex.org/W2493916176","https://openalex.org/W2496889969","https://openalex.org/W2537353704","https://openalex.org/W2597655663","https://openalex.org/W2622365670","https://openalex.org/W2739499354","https://openalex.org/W2741036097","https://openalex.org/W2776249353","https://openalex.org/W2914484425","https://openalex.org/W2963355447","https://openalex.org/W2963386218","https://openalex.org/W2963626623","https://openalex.org/W3027304069","https://openalex.org/W4211186029","https://openalex.org/W4255949318","https://openalex.org/W4285719527","https://openalex.org/W4294170691","https://openalex.org/W6629686373","https://openalex.org/W6636510571","https://openalex.org/W6674691379","https://openalex.org/W6682209933","https://openalex.org/W6682691769","https://openalex.org/W6691459498","https://openalex.org/W6691656293","https://openalex.org/W6693505360","https://openalex.org/W6735377749","https://openalex.org/W6741617862"],"related_works":["https://openalex.org/W2888662092","https://openalex.org/W3205826705","https://openalex.org/W2903394456","https://openalex.org/W2902285665","https://openalex.org/W2150818832","https://openalex.org/W2975174210","https://openalex.org/W2244029015","https://openalex.org/W2287843335","https://openalex.org/W1831473261","https://openalex.org/W4293870971"],"abstract_inverted_index":{"Dimensional":[0],"sentiment":[1,26,44],"analysis":[2],"aims":[3],"to":[4,19,62,115,118,170,176],"recognize":[5],"continuous":[6],"numerical":[7],"values":[8],"in":[9,106,156,204],"multiple":[10],"dimensions":[11],"such":[12,28,100],"as":[13,29,78,90],"the":[14,20,36,64,80,88,102,119,137,157,190],"valence-arousal":[15],"(VA)":[16],"space.":[17],"Compared":[18],"categorical":[21],"approach":[22,38],"that":[23,101,189],"focuses":[24],"on":[25,185],"classification":[27,31],"binary":[30],"(i.e.,":[32],"positive":[33],"and":[34,60,112,140,148,174,198],"negative),":[35],"dimensional":[37],"can":[39,109,153],"provide":[40],"a":[41,49,70,75,85,91,164],"more":[42],"fine-grained":[43],"analysis.":[45],"This":[46],"article":[47],"proposes":[48],"tree-structured":[50],"regional":[51,58,82,123,138],"CNN-LSTM":[52],"model":[53],"consisting":[54],"of":[55,67,87],"two":[56],"parts:":[57],"CNN":[59,72,83,139],"LSTM":[61,131],"predict":[63],"VA":[65,120,133,181],"ratings":[66],"texts.":[68],"Unlike":[69],"conventional":[71,196],"which":[73],"considers":[74],"whole":[76],"text":[77,89,96],"input,":[79],"proposed":[81,169,191,203],"uses":[84],"part":[86],"region,":[92],"dividing":[93],"an":[94],"input":[95],"into":[97,180],"several":[98],"regions":[99,129],"useful":[103],"affective":[104],"information":[105,124,145,179],"each":[107],"region":[108,165],"be":[110,154],"extracted":[111],"weighted":[113],"according":[114],"their":[116],"contribution":[117],"prediction.":[121,134,182],"Such":[122],"is":[125,168],"sequentially":[126],"integrated":[127],"across":[128,151],"using":[130],"for":[132],"By":[135],"combining":[136],"LSTM,":[141],"both":[142],"local":[143],"(regional)":[144],"within":[146],"sentences":[147,152],"long-distance":[149],"dependencies":[150],"considered":[155],"prediction":[158],"process.":[159],"To":[160],"further":[161],"improve":[162],"performance,":[163],"division":[166],"strategy":[167],"discover":[171],"task-relevant":[172],"phrases":[173],"clauses":[175],"incorporate":[177],"structured":[178,200],"Experimental":[183],"results":[184],"different":[186],"corpora":[187],"show":[188],"method":[192],"outperforms":[193],"lexicon-,":[194],"regression-,":[195],"NN":[197,201],"other":[199],"methods":[202],"previous":[205],"studies.":[206]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":26},{"year":2023,"cited_by_count":32},{"year":2022,"cited_by_count":20},{"year":2021,"cited_by_count":34},{"year":2020,"cited_by_count":13}],"updated_date":"2026-08-06T08:24:18.245995","created_date":"2025-10-10T00:00:00"}
