{"id":"https://openalex.org/W2922162322","doi":"https://doi.org/10.3233/jcm-190022","title":"An LSTM-CNN attention approach for aspect-level sentiment classification","display_name":"An LSTM-CNN attention approach for aspect-level sentiment classification","publication_year":2019,"publication_date":"2019-03-08","ids":{"openalex":"https://openalex.org/W2922162322","doi":"https://doi.org/10.3233/jcm-190022","mag":"2922162322"},"language":"en","primary_location":{"id":"doi:10.3233/jcm-190022","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jcm-190022","pdf_url":null,"source":{"id":"https://openalex.org/S2765058733","display_name":"Journal of Computational Methods in Sciences and Engineering","issn_l":"1472-7978","issn":["1472-7978","1875-8983"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Methods in Sciences and Engineering","raw_type":"journal-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/A5064681122","display_name":"Ming Jiang","orcid":"https://orcid.org/0000-0003-3590-9700"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ming Jiang","raw_affiliation_strings":["Institute of Software and Intelligent Technology, Hangzhou Dianzi University, Hangzhou, Zhejiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Software and Intelligent Technology, Hangzhou Dianzi University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100637838","display_name":"Wen Zhang","orcid":"https://orcid.org/0009-0004-2880-5254"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Zhang","raw_affiliation_strings":["Institute of Software and Intelligent Technology, Hangzhou Dianzi University, Hangzhou, Zhejiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Software and Intelligent Technology, Hangzhou Dianzi University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100402925","display_name":"Min Zhang","orcid":"https://orcid.org/0000-0002-6059-3798"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Zhang","raw_affiliation_strings":["Institute of Software and Intelligent Technology, Hangzhou Dianzi University, Hangzhou, Zhejiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Software and Intelligent Technology, Hangzhou Dianzi University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079297450","display_name":"Jianping Wu","orcid":"https://orcid.org/0000-0001-9869-7691"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianping Wu","raw_affiliation_strings":["Zhejiang University, Hangzhou, Zhejiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100660634","display_name":"Tao Wen","orcid":"https://orcid.org/0000-0001-9221-0715"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Wen","raw_affiliation_strings":["Institute of Software and Intelligent Technology, Hangzhou Dianzi University, Hangzhou, Zhejiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Software and Intelligent Technology, Hangzhou Dianzi University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I50760025"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5064681122"],"corresponding_institution_ids":["https://openalex.org/I50760025"],"apc_list":null,"apc_paid":null,"fwci":1.4119,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.85938451,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"19","issue":"4","first_page":"859","last_page":"868"},"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":0.9957000017166138,"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":0.9940999746322632,"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":0.9015636444091797},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.8674161434173584},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.7037656307220459},{"id":"https://openalex.org/keywords/semeval","display_name":"SemEval","score":0.7011246681213379},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6836166977882385},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6620222926139832},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6183855533599854},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5178980827331543},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.502509593963623},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4587879478931427},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.36568981409072876},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3374660015106201}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9015636444091797},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.8674161434173584},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.7037656307220459},{"id":"https://openalex.org/C44572571","wikidata":"https://www.wikidata.org/wiki/Q7448970","display_name":"SemEval","level":3,"score":0.7011246681213379},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6836166977882385},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6620222926139832},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6183855533599854},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5178980827331543},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.502509593963623},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4587879478931427},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.36568981409072876},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3374660015106201},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jcm-190022","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jcm-190022","pdf_url":null,"source":{"id":"https://openalex.org/S2765058733","display_name":"Journal of Computational Methods in Sciences and Engineering","issn_l":"1472-7978","issn":["1472-7978","1875-8983"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Methods in Sciences and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W71795751","https://openalex.org/W179875071","https://openalex.org/W1523493493","https://openalex.org/W2077563243","https://openalex.org/W2131090205","https://openalex.org/W2166706824","https://openalex.org/W2252128625","https://openalex.org/W2465978385","https://openalex.org/W2562607067","https://openalex.org/W2949709688","https://openalex.org/W2963119602","https://openalex.org/W2963168371","https://openalex.org/W2963428430","https://openalex.org/W2964288660"],"related_works":["https://openalex.org/W2953234277","https://openalex.org/W2626256601","https://openalex.org/W2900413183","https://openalex.org/W4390975304","https://openalex.org/W147410782","https://openalex.org/W3022252430","https://openalex.org/W4287804464","https://openalex.org/W3103989898","https://openalex.org/W2117643817","https://openalex.org/W2188275805"],"abstract_inverted_index":{"Opinions":[0],"in":[1,40,62],"complex":[2],"reviews":[3],"often":[4],"vary":[5],"on":[6,15,149,159],"different":[7],"aspects":[8],"of":[9,23,83,179],"a":[10,16,31,37,63],"thing.":[11],"Coarse-grained":[12],"sentiment":[13,21,28,41,48,55,99,181],"analysis":[14],"sentence":[17],"can\u2019t":[18],"capture":[19],"the":[20,72,81,144,150,154,160,177],"polarity":[22],"it":[24,35,77],"accurately.":[25],"Therefore,":[26],"aspect-level":[27,98,180],"classification":[29,49],"is":[30,36],"better":[32],"choice":[33],"because":[34],"fine-grained":[38,54],"task":[39],"analysis.":[42],"However,":[43],"common":[44],"methods":[45],"used":[46],"for":[47,53,97,107],"are":[50],"not":[51],"suitable":[52],"analysis,":[56],"such":[57],"as":[58],"LSTM.":[59],"LSTM":[60,104,110,126],"works":[61],"sequential":[64],"way":[65],"and":[66,115,133,164,168],"manipulates":[67],"each":[68,84],"context":[69,85],"word":[70],"with":[71,105],"same":[73],"operation,":[74],"so":[75],"that":[76,171],"cannot":[78],"explicitly":[79],"reveal":[80],"importance":[82],"word.":[86],"To":[87],"this":[88],"end,":[89],"we":[90,142],"propose":[91],"an":[92],"Aspect-based":[93],"LSTM-CNN":[94],"Attention":[95],"model":[96,173],"classification.":[100,182],"Our":[101],"approach":[102],"combines":[103],"CNN":[106],"simultaneously":[108],"leveraging":[109],"to":[111,118,136,147],"handle":[112],"long-range":[113],"dependencies":[114],"CNN\u2019s":[116],"ability":[117],"identify":[119],"local":[120,139],"features.":[121,140],"The":[122],"features":[123],"extracted":[124],"by":[125,131],"will":[127],"be":[128],"filtered":[129],"again":[130],"convolution":[132],"pooling":[134],"operations":[135],"find":[137],"important":[138,151],"Then":[141],"introduce":[143],"attention":[145],"mechanism":[146],"focus":[148],"information":[152],"about":[153],"specific":[155],"aspect.":[156],"We":[157],"experiment":[158],"SemEval":[161],"2014":[162],"dataset":[163],"Chinese":[165],"hotel":[166],"reviews,":[167],"results":[169],"show":[170],"our":[172],"can":[174],"effectively":[175],"improve":[176],"accuracy":[178]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-22T06:01:30.510260","created_date":"2025-10-10T00:00:00"}
