{"id":"https://openalex.org/W2981220581","doi":"https://doi.org/10.1109/tkde.2019.2947587","title":"Joint Inference for Aspect-level Sentiment Analysis by Deep Neural Networks and Linguistic Hints","display_name":"Joint Inference for Aspect-level Sentiment Analysis by Deep Neural Networks and Linguistic Hints","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2981220581","doi":"https://doi.org/10.1109/tkde.2019.2947587","mag":"2981220581"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2019.2947587","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2019.2947587","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data 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/A5100388827","display_name":"Yanyan Wang","orcid":"https://orcid.org/0000-0003-0719-5536"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]},{"id":"https://openalex.org/I890469752","display_name":"Ministry of Industry and Information Technology","ror":"https://ror.org/0385nmy68","country_code":"CN","type":"government","lineage":["https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yanyan Wang","raw_affiliation_strings":["Key Laboratory of Big Data Storage and Management, School of Computer Science, Northwestern Polytechnical University, Northwestern Polytechnical Universitya and Ministry of Industry and Information Technology, Xi'an, ShaanXi, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Big Data Storage and Management, School of Computer Science, Northwestern Polytechnical University, Northwestern Polytechnical Universitya and Ministry of Industry and Information Technology, Xi'an, ShaanXi, China","institution_ids":["https://openalex.org/I17145004","https://openalex.org/I890469752"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100336667","display_name":"Qun Chen","orcid":"https://orcid.org/0000-0001-9556-755X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]},{"id":"https://openalex.org/I890469752","display_name":"Ministry of Industry and Information Technology","ror":"https://ror.org/0385nmy68","country_code":"CN","type":"government","lineage":["https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qun Chen","raw_affiliation_strings":["Key Laboratory of Big Data Storage and Management, School of Computer Science, Northwestern Polytechnical University, Northwestern Polytechnical Universitya and Ministry of Industry and Information Technology, Xi'an, ShaanXi, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Big Data Storage and Management, School of Computer Science, Northwestern Polytechnical University, Northwestern Polytechnical Universitya and Ministry of Industry and Information Technology, Xi'an, ShaanXi, China","institution_ids":["https://openalex.org/I17145004","https://openalex.org/I890469752"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087283637","display_name":"Murtadha Ahmed","orcid":"https://orcid.org/0000-0002-0741-0710"},"institutions":[{"id":"https://openalex.org/I890469752","display_name":"Ministry of Industry and Information Technology","ror":"https://ror.org/0385nmy68","country_code":"CN","type":"government","lineage":["https://openalex.org/I890469752"]},{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Murtadha Ahmed","raw_affiliation_strings":["Key Laboratory of Big Data Storage and Management, School of Computer Science, Northwestern Polytechnical University, Northwestern Polytechnical Universitya and Ministry of Industry and Information Technology, Xi'an, ShaanXi, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Big Data Storage and Management, School of Computer Science, Northwestern Polytechnical University, Northwestern Polytechnical Universitya and Ministry of Industry and Information Technology, Xi'an, ShaanXi, China","institution_ids":["https://openalex.org/I17145004","https://openalex.org/I890469752"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107521953","display_name":"Zhanhua Li","orcid":null},"institutions":[{"id":"https://openalex.org/I890469752","display_name":"Ministry of Industry and Information Technology","ror":"https://ror.org/0385nmy68","country_code":"CN","type":"government","lineage":["https://openalex.org/I890469752"]},{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhanhua Li","raw_affiliation_strings":["Key Laboratory of Big Data Storage and Management, School of Computer Science, Northwestern Polytechnical University, Northwestern Polytechnical Universitya and Ministry of Industry and Information Technology, Xi'an, ShaanXi, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Big Data Storage and Management, School of Computer Science, Northwestern Polytechnical University, Northwestern Polytechnical Universitya and Ministry of Industry and Information Technology, Xi'an, ShaanXi, China","institution_ids":["https://openalex.org/I17145004","https://openalex.org/I890469752"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101598017","display_name":"Wei Pan","orcid":"https://orcid.org/0000-0003-4518-2082"},"institutions":[{"id":"https://openalex.org/I890469752","display_name":"Ministry of Industry and Information Technology","ror":"https://ror.org/0385nmy68","country_code":"CN","type":"government","lineage":["https://openalex.org/I890469752"]},{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Pan","raw_affiliation_strings":["Key Laboratory of Big Data Storage and Management, School of Computer Science, Northwestern Polytechnical University, Northwestern Polytechnical Universitya and Ministry of Industry and Information Technology, Xi'an, ShaanXi, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Big Data Storage and Management, School of Computer Science, Northwestern Polytechnical University, Northwestern Polytechnical Universitya and Ministry of Industry and Information Technology, Xi'an, ShaanXi, China","institution_ids":["https://openalex.org/I17145004","https://openalex.org/I890469752"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100606445","display_name":"Hailong Liu","orcid":"https://orcid.org/0000-0003-2195-3380"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]},{"id":"https://openalex.org/I890469752","display_name":"Ministry of Industry and Information Technology","ror":"https://ror.org/0385nmy68","country_code":"CN","type":"government","lineage":["https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hailong Liu","raw_affiliation_strings":["Key Laboratory of Big Data Storage and Management, School of Computer Science, Northwestern Polytechnical University, Northwestern Polytechnical Universitya and Ministry of Industry and Information Technology, Xi'an, ShaanXi, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Big Data Storage and Management, School of Computer Science, Northwestern Polytechnical University, Northwestern Polytechnical Universitya and Ministry of Industry and Information Technology, Xi'an, ShaanXi, China","institution_ids":["https://openalex.org/I17145004","https://openalex.org/I890469752"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100388827"],"corresponding_institution_ids":["https://openalex.org/I17145004","https://openalex.org/I890469752"],"apc_list":null,"apc_paid":null,"fwci":2.3803,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.91515874,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9884999990463257,"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":0.98580002784729,"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":0.8508948087692261},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7039462924003601},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.6619382500648499},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6596949100494385},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6520198583602905},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5299055576324463},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5055139064788818},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.5046035051345825},{"id":"https://openalex.org/keywords/polarity","display_name":"Polarity (international relations)","score":0.48506489396095276},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4784146249294281},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.4248959422111511},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.345135897397995},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.1269536316394806}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8508948087692261},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7039462924003601},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.6619382500648499},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6596949100494385},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6520198583602905},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5299055576324463},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5055139064788818},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.5046035051345825},{"id":"https://openalex.org/C2777361361","wikidata":"https://www.wikidata.org/wiki/Q1112585","display_name":"Polarity (international relations)","level":3,"score":0.48506489396095276},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4784146249294281},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.4248959422111511},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.345135897397995},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.1269536316394806},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C1491633281","wikidata":"https://www.wikidata.org/wiki/Q7868","display_name":"Cell","level":2,"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2019.2947587","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2019.2947587","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7400000095367432,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G1847765478","display_name":null,"funder_award_id":"61732014; 61672432","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":86,"referenced_works":["https://openalex.org/W142730124","https://openalex.org/W1599188306","https://openalex.org/W1632114991","https://openalex.org/W1934084512","https://openalex.org/W1964613733","https://openalex.org/W1992039201","https://openalex.org/W1997945384","https://openalex.org/W2044252347","https://openalex.org/W2051473806","https://openalex.org/W2084046180","https://openalex.org/W2099813784","https://openalex.org/W2101108755","https://openalex.org/W2108646579","https://openalex.org/W2110693566","https://openalex.org/W2116064496","https://openalex.org/W2137216273","https://openalex.org/W2158899491","https://openalex.org/W2164567676","https://openalex.org/W2170240176","https://openalex.org/W2171472464","https://openalex.org/W2215376118","https://openalex.org/W2242874043","https://openalex.org/W2250539671","https://openalex.org/W2250861254","https://openalex.org/W2250879510","https://openalex.org/W2251124635","https://openalex.org/W2251294039","https://openalex.org/W2252057809","https://openalex.org/W2253519362","https://openalex.org/W2306941105","https://openalex.org/W2465978385","https://openalex.org/W2470673105","https://openalex.org/W2529550020","https://openalex.org/W2536725458","https://openalex.org/W2562607067","https://openalex.org/W2567406479","https://openalex.org/W2739774142","https://openalex.org/W2740721704","https://openalex.org/W2741252866","https://openalex.org/W2757442264","https://openalex.org/W2757541972","https://openalex.org/W2767210791","https://openalex.org/W2769041395","https://openalex.org/W2788610610","https://openalex.org/W2788810909","https://openalex.org/W2788889673","https://openalex.org/W2789190634","https://openalex.org/W2798545814","https://openalex.org/W2799044502","https://openalex.org/W2799072521","https://openalex.org/W2808610848","https://openalex.org/W2875308690","https://openalex.org/W2891778157","https://openalex.org/W2895547478","https://openalex.org/W2914278227","https://openalex.org/W2914713622","https://openalex.org/W2950404230","https://openalex.org/W2950577311","https://openalex.org/W2952620744","https://openalex.org/W2953132584","https://openalex.org/W2959716049","https://openalex.org/W2962808042","https://openalex.org/W2963012544","https://openalex.org/W2963240575","https://openalex.org/W2963247703","https://openalex.org/W2963428430","https://openalex.org/W2963682631","https://openalex.org/W2963687836","https://openalex.org/W2963703618","https://openalex.org/W2963909901","https://openalex.org/W2964164368","https://openalex.org/W2964288660","https://openalex.org/W2966026905","https://openalex.org/W4211186029","https://openalex.org/W6605727216","https://openalex.org/W6675143072","https://openalex.org/W6684159759","https://openalex.org/W6685053522","https://openalex.org/W6727807531","https://openalex.org/W6728469146","https://openalex.org/W6734172854","https://openalex.org/W6743446608","https://openalex.org/W6748540291","https://openalex.org/W6748560189","https://openalex.org/W6748591703","https://openalex.org/W6752770541"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2548633793","https://openalex.org/W3013279174","https://openalex.org/W2941935829","https://openalex.org/W1984947604","https://openalex.org/W3042419602","https://openalex.org/W2966649771"],"abstract_inverted_index":{"The":[0],"state-of-the-art":[1,186],"techniques":[2,139],"for":[3,94,140],"aspect-level":[4],"sentiment":[5,48,121],"analysis":[6],"focused":[7],"on":[8,84,123,170],"feature":[9],"modeling":[10],"using":[11],"a":[12,59,80],"variety":[13],"of":[14,26,36,69,76,120,152,168],"deep":[15,70],"neural":[16,71],"networks":[17,72],"(DNN).":[18],"Unfortunately,":[19],"their":[20,145],"performance":[21,167],"may":[22],"still":[23],"fall":[24],"short":[25],"expectation":[27],"in":[28,79],"real":[29],"scenarios":[30],"due":[31],"to":[32,98,116,127,184],"the":[33,41,67,74,91,100,110,118,129,137,150,155,166,185],"semantic":[34],"complexity":[35],"natural":[37],"languages.":[38],"Motivated":[39],"by":[40,109,196],"observation":[42],"that":[43,182],"many":[44],"linguistic":[45,77,92,142],"hints":[46,78,93],"(e.g.,":[47],"words":[49,122],"and":[50,73,158,173],"shift":[51],"words)":[52],"are":[53],"reliable":[54],"polarity":[55,193],"indicators,":[56],"we":[57,162],"propose":[58],"joint":[60,159],"framework,":[61],"SenHint,":[62],"which":[63],"can":[64,105,190],"seamlessly":[65],"integrate":[66],"output":[68,151],"implications":[75,146],"unified":[81,156],"model":[82],"based":[83],"Markov":[85],"logic":[86],"network":[87],"(MLN).":[88],"SenHint":[89,169,189],"leverages":[90],"multiple":[95],"purposes:":[96],"(1)":[97],"identify":[99],"easy":[101],"instances,":[102],"whose":[103],"polarities":[104],"be":[106],"automatically":[107],"determined":[108],"machine":[111],"with":[112],"high":[113],"accuracy;":[114],"(2)":[115,126],"capture":[117,128],"influence":[119],"aspect":[124,133],"polarities;":[125],"implicit":[130],"relations":[131],"between":[132],"polarities.":[134],"We":[135],"present":[136],"required":[138],"extracting":[141],"hints,":[143],"encoding":[144],"as":[147,149],"well":[148],"DNN":[153,187],"into":[154],"model,":[157],"inference.":[160],"Finally,":[161],"have":[163,180],"empirically":[164],"evaluated":[165],"both":[171],"English":[172],"Chinese":[174],"benchmark":[175],"datasets.":[176],"Our":[177],"extensive":[178],"experiments":[179],"shown":[181],"compared":[183],"techniques,":[188],"effectively":[191],"improve":[192],"detection":[194],"accuracy":[195],"considerable":[197],"margins.":[198]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
