{"id":"https://openalex.org/W2994205078","doi":"https://doi.org/10.1109/dsc.2019.00031","title":"Text Sentiment Analysis Based on Parallel Recursive Constituency Tree-LSTM","display_name":"Text Sentiment Analysis Based on Parallel Recursive Constituency Tree-LSTM","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2994205078","doi":"https://doi.org/10.1109/dsc.2019.00031","mag":"2994205078"},"language":"en","primary_location":{"id":"doi:10.1109/dsc.2019.00031","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsc.2019.00031","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Fourth International Conference on Data Science in Cyberspace (DSC)","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/A5057416382","display_name":"Yongheng Wang","orcid":"https://orcid.org/0000-0002-7675-2327"},"institutions":[{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yongheng Wang","raw_affiliation_strings":["Research Center of Cyberspace Bigsearch, Zhejiang Lab, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Research Center of Cyberspace Bigsearch, Zhejiang Lab, Hangzhou, China","institution_ids":["https://openalex.org/I4210123185"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002002526","display_name":"Xiaozan Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaozan Zhang","raw_affiliation_strings":["College of Computer Science and Electronics Engineering, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronics Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040399942","display_name":"Xiangge Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangge Wang","raw_affiliation_strings":["College of Computer Science and Electronics Engineering, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronics Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100686442","display_name":"Rong Zhu","orcid":"https://orcid.org/0000-0003-4019-8587"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rong Zhu","raw_affiliation_strings":["College of Computer Science and Electronics Engineering, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronics Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046392528","display_name":"Zengwang Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zengwang Wang","raw_affiliation_strings":["College of Computer Science and Electronics Engineering, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronics Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100632228","display_name":"Lijie Liu","orcid":"https://orcid.org/0000-0001-8775-9973"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lijie Liu","raw_affiliation_strings":["Department of Medical Engineering, Xinjiang Military General Hosptial, Urmuqi, China"],"affiliations":[{"raw_affiliation_string":"Department of Medical Engineering, Xinjiang Military General Hosptial, Urmuqi, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5057416382"],"corresponding_institution_ids":["https://openalex.org/I4210123185"],"apc_list":null,"apc_paid":null,"fwci":0.1443,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.60407247,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"2019","issue":null,"first_page":"156","last_page":"161"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9997000098228455,"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":0.9997000098228455,"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":0.998199999332428,"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":0.9976999759674072,"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/sentiment-analysis","display_name":"Sentiment analysis","score":0.8841239213943481},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8602408170700073},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.636401891708374},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.6349923610687256},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6291199922561646},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5836279988288879},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.44968926906585693},{"id":"https://openalex.org/keywords/tree-structure","display_name":"Tree structure","score":0.4426628649234772},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.4348071813583374},{"id":"https://openalex.org/keywords/decision-tree-model","display_name":"Decision tree model","score":0.42764437198638916},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41992413997650146},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4184926748275757},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.34752070903778076},{"id":"https://openalex.org/keywords/binary-tree","display_name":"Binary tree","score":0.19622895121574402},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.11373355984687805},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.10694542527198792}],"concepts":[{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.8841239213943481},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8602408170700073},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.636401891708374},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.6349923610687256},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6291199922561646},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5836279988288879},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.44968926906585693},{"id":"https://openalex.org/C163797641","wikidata":"https://www.wikidata.org/wiki/Q2067937","display_name":"Tree structure","level":3,"score":0.4426628649234772},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.4348071813583374},{"id":"https://openalex.org/C56289965","wikidata":"https://www.wikidata.org/wiki/Q5249246","display_name":"Decision tree model","level":3,"score":0.42764437198638916},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41992413997650146},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4184926748275757},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.34752070903778076},{"id":"https://openalex.org/C197855036","wikidata":"https://www.wikidata.org/wiki/Q380172","display_name":"Binary tree","level":2,"score":0.19622895121574402},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11373355984687805},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.10694542527198792},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","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":2,"locations":[{"id":"doi:10.1109/dsc.2019.00031","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsc.2019.00031","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Fourth International Conference on Data Science in Cyberspace (DSC)","raw_type":"proceedings-article"},{"id":"mag:3034743681","is_oa":false,"landing_page_url":"https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=201902235360607758","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","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":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"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/W22861983","https://openalex.org/W71795751","https://openalex.org/W1498436455","https://openalex.org/W1832693441","https://openalex.org/W1879966306","https://openalex.org/W1895577753","https://openalex.org/W1984052055","https://openalex.org/W2039543580","https://openalex.org/W2064675550","https://openalex.org/W2095705004","https://openalex.org/W2097606805","https://openalex.org/W2130942839","https://openalex.org/W2143612262","https://openalex.org/W2146502635","https://openalex.org/W2250539671","https://openalex.org/W2251939518","https://openalex.org/W2284289336","https://openalex.org/W2415969251","https://openalex.org/W2514588627","https://openalex.org/W2914484425","https://openalex.org/W2949888546","https://openalex.org/W2951912364","https://openalex.org/W2963082289","https://openalex.org/W2963355447","https://openalex.org/W4238404964","https://openalex.org/W6600949241","https://openalex.org/W6602989467","https://openalex.org/W6639301165","https://openalex.org/W6675802400","https://openalex.org/W6679436768","https://openalex.org/W6691459498","https://openalex.org/W6695662000"],"related_works":["https://openalex.org/W4380629648","https://openalex.org/W3214885503","https://openalex.org/W4385640509","https://openalex.org/W4313906440","https://openalex.org/W2389814391","https://openalex.org/W3004292714","https://openalex.org/W2087668131","https://openalex.org/W3200192427","https://openalex.org/W4381745612","https://openalex.org/W2360306757"],"abstract_inverted_index":{"With":[0],"the":[1,83,86,90,100,133,141,148,160,178,186],"rapid":[2],"development":[3],"of":[4,20,28,69,89,103,144,152,171],"mobile":[5],"Internet,":[6],"online":[7],"platforms":[8],"such":[9],"as":[10],"social":[11],"entertainment":[12],"and":[13,40,48,73,159],"e-commerce":[14],"have":[15],"brought":[16],"a":[17,109,182],"large":[18],"number":[19],"unstructured":[21],"texts":[22,30],"containing":[23],"sentiment":[24,56,87,101,129,142,153,172],"polarity.":[25],"Sentiment":[26],"analysis":[27,57],"these":[29,60],"can":[31],"be":[32],"used":[33],"for":[34,55],"public":[35],"opinion":[36],"analysis,":[37],"product":[38],"review":[39],"other":[41],"tasks.":[42,58],"Recent":[43],"researches":[44],"show":[45],"great":[46],"interest":[47],"success":[49],"in":[50,147],"using":[51],"deep":[52],"learning":[53],"methods":[54],"Among":[59],"contributions,":[61],"Constituency":[62,112,121,157,187],"Tree-LSTM":[63,113,122,158],"has":[64],"achieved":[65],"good":[66],"results":[67,175],"because":[68],"its":[70,95,104],"superior":[71],"ability":[72],"tree":[74],"structure":[75,150],"to":[76,123,132],"preserve":[77],"sequence":[78],"information":[79,102,130,143,154],"over":[80],"time.":[81],"However,":[82],"model":[84,180],"calculates":[85],"label":[88],"node":[91,128,146],"based":[92],"mainly":[93],"on":[94],"vector":[96],"representation,":[97],"while":[98],"missing":[99],"children.":[105],"This":[106],"paper":[107],"proposes":[108],"parallel":[110],"recursive":[111,117,137,161],"(PRCT-LSTM),":[114],"which":[115],"combines":[116],"neural":[118,138],"network":[119],"with":[120],"achieve":[124],"better":[125],"performance.":[126],"The":[127],"propagates":[131],"global":[134],"evaluation":[135],"through":[136],"networks.":[139],"Therefore,":[140],"each":[145],"PRCT-LSTM":[149],"consists":[151],"generated":[155],"by":[156],"model.":[162],"In":[163],"this":[164],"way,":[165],"we":[166],"take":[167],"more":[168],"full":[169],"usage":[170],"information.":[173],"Experimental":[174],"manifest":[176],"that":[177],"proposed":[179],"achieves":[181],"higher":[183],"performance":[184],"than":[185],"Tree-LSTM.":[188]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}