{"id":"https://openalex.org/W3134003081","doi":"https://doi.org/10.3233/jifs-202140","title":"An efficient methodology for aspect-based sentiment analysis using BERT through refined aspect extraction","display_name":"An efficient methodology for aspect-based sentiment analysis using BERT through refined aspect extraction","publication_year":2021,"publication_date":"2021-03-09","ids":{"openalex":"https://openalex.org/W3134003081","doi":"https://doi.org/10.3233/jifs-202140","mag":"3134003081"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-202140","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-202140","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"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 Intelligent & Fuzzy Systems","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/A5071155612","display_name":"Wazib Ansar","orcid":"https://orcid.org/0000-0001-9191-1771"},"institutions":[{"id":"https://openalex.org/I106542073","display_name":"University of Calcutta","ror":"https://ror.org/01e7v7w47","country_code":"IN","type":"education","lineage":["https://openalex.org/I106542073"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Wazib Ansar","raw_affiliation_strings":["A. K. Choudhury School of IT, University of Calcutta, Kolkata, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"A. K. Choudhury School of IT, University of Calcutta, Kolkata, India","institution_ids":["https://openalex.org/I106542073"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112442569","display_name":"Saptarsi Goswami","orcid":null},"institutions":[{"id":"https://openalex.org/I106542073","display_name":"University of Calcutta","ror":"https://ror.org/01e7v7w47","country_code":"IN","type":"education","lineage":["https://openalex.org/I106542073"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Saptarsi Goswami","raw_affiliation_strings":["Bangabasi Morning College, University of Calcutta, Kolkata, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bangabasi Morning College, University of Calcutta, Kolkata, India","institution_ids":["https://openalex.org/I106542073"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043543748","display_name":"Amlan Chakrabarti","orcid":"https://orcid.org/0000-0003-4380-3172"},"institutions":[{"id":"https://openalex.org/I106542073","display_name":"University of Calcutta","ror":"https://ror.org/01e7v7w47","country_code":"IN","type":"education","lineage":["https://openalex.org/I106542073"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Amlan Chakrabarti","raw_affiliation_strings":["A. K. Choudhury School of IT, University of Calcutta, Kolkata, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"A. K. Choudhury School of IT, University of Calcutta, Kolkata, India","institution_ids":["https://openalex.org/I106542073"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101612450","display_name":"Basabi Chakraborty","orcid":"https://orcid.org/0000-0002-6211-9790"},"institutions":[{"id":"https://openalex.org/I6090238","display_name":"Iwate Prefectural University","ror":"https://ror.org/054dx8336","country_code":"JP","type":"education","lineage":["https://openalex.org/I6090238"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Basabi Chakraborty","raw_affiliation_strings":["Iwate Prefectural University, Takizawa, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Iwate Prefectural University, Takizawa, Japan","institution_ids":["https://openalex.org/I6090238"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5071155612"],"corresponding_institution_ids":["https://openalex.org/I106542073"],"apc_list":null,"apc_paid":null,"fwci":1.8189,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.87509526,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"40","issue":"5","first_page":"9627","last_page":"9644"},"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9958000183105469,"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":0.9937000274658203,"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":0.8504213094711304},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.5261616110801697},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5180018544197083},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5027041435241699},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49780750274658203},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4587460160255432},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.4502899944782257},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.4450336694717407},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.38399091362953186},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3524540066719055},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3381330370903015}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8504213094711304},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.5261616110801697},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5180018544197083},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5027041435241699},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49780750274658203},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4587460160255432},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.4502899944782257},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4450336694717407},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.38399091362953186},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3524540066719055},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3381330370903015},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-202140","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-202140","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"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 Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6100000143051147,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2019759670","https://openalex.org/W2056695536","https://openalex.org/W2100649405","https://openalex.org/W2121167884","https://openalex.org/W2194578903","https://openalex.org/W2427312199","https://openalex.org/W2812111957","https://openalex.org/W2882319491","https://openalex.org/W2883660486","https://openalex.org/W2922650329","https://openalex.org/W2929472605","https://openalex.org/W2942627697","https://openalex.org/W2964059932","https://openalex.org/W2974226524","https://openalex.org/W3152231500","https://openalex.org/W4236122429","https://openalex.org/W6677966481"],"related_works":["https://openalex.org/W2165912799","https://openalex.org/W2735662278","https://openalex.org/W2382615723","https://openalex.org/W4311804456","https://openalex.org/W1987484445","https://openalex.org/W2623658258","https://openalex.org/W2143413548","https://openalex.org/W1969219540","https://openalex.org/W2370459448","https://openalex.org/W2105067402"],"abstract_inverted_index":{"Aspect-Based":[0],"Sentiment":[1],"Analysis":[2],"(ABSA)":[3],"has":[4,34,68,80,108,130],"become":[5],"a":[6,29,96,156,162],"trending":[7],"research":[8],"domain":[9],"due":[10],"to":[11,14,37,43,71,114,146,183],"its":[12,173],"ability":[13],"transform":[15],"lives":[16],"as":[17,19,90,92,111],"well":[18,91],"the":[20,45,52,55,120,124],"technical":[21],"challenges":[22],"involved":[23],"in":[24,135,140,164,172],"it.":[25],"In":[26],"this":[27],"paper,":[28],"unique":[30],"set":[31],"of":[32,54,63,95,122,155,170],"rules":[33],"been":[35,69,81,109,190],"formulated":[36],"extract":[38],"aspect-opinion":[39],"phrases.":[40],"It":[41],"helps":[42,113],"reduce":[44,119],"average":[46],"sentence":[47],"length":[48,142],"by":[49,57,161],"84%":[50],"and":[51,118,180,198],"complexity":[53],"text":[56],"50%.":[58],"A":[59],"modified":[60],"rank-based":[61],"version":[62],"Term-Frequency":[64],"-":[65],"Inverse-Document-Frequency":[66],"(TF-IDF)":[67],"proposed":[70,150],"identify":[72],"significant":[73],"aspects.":[74],"An":[75],"innovative":[76],"word":[77],"representation":[78],"technique":[79],"applied":[82,110],"for":[83],"aspect":[84],"categorization":[85],"which":[86,143],"identifies":[87],"both":[88],"local":[89],"global":[93],"context":[94],"word.":[97],"For":[98],"sentiment":[99],"classification,":[100],"pre-trained":[101],"Bidirectional":[102],"Encoder":[103],"Representations":[104],"from":[105,126],"Transformers":[106],"(BERT)":[107],"it":[112,176],"capture":[115],"long-term":[116],"dependencies":[117],"overhead":[121],"training":[123],"model":[125],"scratch.":[127],"However,":[128],"BERT":[129,158],"drawbacks":[131,154],"like":[132],"quadratic":[133],"drop":[134],"efficiency":[136,165,181],"with":[137,167],"an":[138,168],"increase":[139],"sequence":[141],"is":[144],"limited":[145],"512":[147],"tokens.":[148],"The":[149,187],"methodology":[151],"mitigates":[152],"these":[153],"typical":[157],"classifier":[159],"accompanied":[160],"rise":[163],"along":[166],"improvement":[169],"8%":[171],"accuracy.":[174],"Furthermore,":[175],"yields":[177],"enhanced":[178],"performance":[179],"compared":[182],"other":[184],"state-of-the-art":[185],"methods.":[186],"assertions":[188],"have":[189],"established":[191],"through":[192],"extensive":[193],"analysis":[194],"upon":[195],"movie":[196],"reviews":[197],"Sentihood":[199],"data-sets.":[200]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}