{"id":"https://openalex.org/W3205275387","doi":"https://doi.org/10.1142/s1469026821500152","title":"Heuristic-Assisted BERT for Twitter Sentiment Analysis","display_name":"Heuristic-Assisted BERT for Twitter Sentiment Analysis","publication_year":2021,"publication_date":"2021-09-01","ids":{"openalex":"https://openalex.org/W3205275387","doi":"https://doi.org/10.1142/s1469026821500152","mag":"3205275387"},"language":"en","primary_location":{"id":"doi:10.1142/s1469026821500152","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s1469026821500152","pdf_url":null,"source":{"id":"https://openalex.org/S206936884","display_name":"International Journal of Computational Intelligence and Applications","issn_l":"1469-0268","issn":["1469-0268","1757-5885"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311754","host_organization_name":"Imperial College Press","host_organization_lineage":["https://openalex.org/P4310311754"],"host_organization_lineage_names":["Imperial College Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence and Applications","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/A5065197324","display_name":"Gokul Yenduri","orcid":"https://orcid.org/0000-0001-9146-8378"},"institutions":[{"id":"https://openalex.org/I149313025","display_name":"Vignan's Foundation for Science, Technology & Research","ror":"https://ror.org/03bzf1g85","country_code":"IN","type":"education","lineage":["https://openalex.org/I149313025"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Gokul Yenduri","raw_affiliation_strings":["CSE Department, Vlits,Vignan\u2018S University, India","CSE Department, Vlits,Vignan'S University, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CSE Department, Vlits,Vignan\u2018S University, India","institution_ids":["https://openalex.org/I149313025"]},{"raw_affiliation_string":"CSE Department, Vlits,Vignan'S University, India","institution_ids":["https://openalex.org/I149313025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102817332","display_name":"B. R. Rajakumar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"B. R. Rajakumar","raw_affiliation_strings":["Resbee Info Technologies Private Limited, 2nd Floor, Rathi Plaza, Opposite to Government Hospital, Thuckalay, Tamil Nadu 629175, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Resbee Info Technologies Private Limited, 2nd Floor, Rathi Plaza, Opposite to Government Hospital, Thuckalay, Tamil Nadu 629175, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034708850","display_name":"K. Praghash","orcid":"https://orcid.org/0000-0002-4592-4894"},"institutions":[{"id":"https://openalex.org/I875944469","display_name":"Koneru Lakshmaiah Education Foundation","ror":"https://ror.org/02k949197","country_code":"IN","type":"education","lineage":["https://openalex.org/I875944469"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"K. Praghash","raw_affiliation_strings":["Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India","institution_ids":["https://openalex.org/I875944469"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029108928","display_name":"D. Binu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"D. Binu","raw_affiliation_strings":["Resbee Info Technologies Private Limited, 2nd Floor, Rathi Plaza, Opposite to Government Hospital, Thuckalay, Tamil Nadu 629175, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Resbee Info Technologies Private Limited, 2nd Floor, Rathi Plaza, Opposite to Government Hospital, Thuckalay, Tamil Nadu 629175, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5065197324"],"corresponding_institution_ids":["https://openalex.org/I149313025"],"apc_list":null,"apc_paid":null,"fwci":2.5185,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.91207378,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"20","issue":"03","first_page":null,"last_page":null},"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":0.9940000176429749,"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":0.9936000108718872,"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":0.901677131652832},{"id":"https://openalex.org/keywords/lexical-analysis","display_name":"Lexical analysis","score":0.7594019174575806},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.6798970699310303},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5987712144851685},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5984519720077515},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5475817322731018},{"id":"https://openalex.org/keywords/stop-words","display_name":"Stop words","score":0.45841285586357117},{"id":"https://openalex.org/keywords/slang","display_name":"Slang","score":0.4403757154941559},{"id":"https://openalex.org/keywords/lexicographical-order","display_name":"Lexicographical order","score":0.421855092048645},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.40990114212036133},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.11168217658996582}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.901677131652832},{"id":"https://openalex.org/C176982825","wikidata":"https://www.wikidata.org/wiki/Q835922","display_name":"Lexical analysis","level":2,"score":0.7594019174575806},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.6798970699310303},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5987712144851685},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5984519720077515},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5475817322731018},{"id":"https://openalex.org/C188338183","wikidata":"https://www.wikidata.org/wiki/Q80735","display_name":"Stop words","level":3,"score":0.45841285586357117},{"id":"https://openalex.org/C2779901982","wikidata":"https://www.wikidata.org/wiki/Q8102","display_name":"Slang","level":2,"score":0.4403757154941559},{"id":"https://openalex.org/C159254197","wikidata":"https://www.wikidata.org/wiki/Q1144915","display_name":"Lexicographical order","level":2,"score":0.421855092048645},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.40990114212036133},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.11168217658996582},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s1469026821500152","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s1469026821500152","pdf_url":null,"source":{"id":"https://openalex.org/S206936884","display_name":"International Journal of Computational Intelligence and Applications","issn_l":"1469-0268","issn":["1469-0268","1757-5885"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311754","host_organization_name":"Imperial College Press","host_organization_lineage":["https://openalex.org/P4310311754"],"host_organization_lineage_names":["Imperial College Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.4399999976158142,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W2092347923","https://openalex.org/W2094689349","https://openalex.org/W2110390205","https://openalex.org/W2145461784","https://openalex.org/W2186975252","https://openalex.org/W2240884068","https://openalex.org/W2290883490","https://openalex.org/W2306115793","https://openalex.org/W2503222705","https://openalex.org/W2553090555","https://openalex.org/W2583503161","https://openalex.org/W2626919545","https://openalex.org/W2781487490","https://openalex.org/W2792763200","https://openalex.org/W2794904450","https://openalex.org/W2795988153","https://openalex.org/W2796018820","https://openalex.org/W2796708390","https://openalex.org/W2800314907","https://openalex.org/W2886444838","https://openalex.org/W2891064068","https://openalex.org/W2900946789","https://openalex.org/W2906441821","https://openalex.org/W2911655106","https://openalex.org/W2921140414","https://openalex.org/W2946870453","https://openalex.org/W2947431746","https://openalex.org/W2995954664","https://openalex.org/W2997254516","https://openalex.org/W3000739907","https://openalex.org/W3044866491","https://openalex.org/W3047836020","https://openalex.org/W3093419084"],"related_works":["https://openalex.org/W3158961892","https://openalex.org/W4235312256","https://openalex.org/W2305719592","https://openalex.org/W4387772941","https://openalex.org/W4386885143","https://openalex.org/W4387272222","https://openalex.org/W3185916216","https://openalex.org/W3000733727","https://openalex.org/W4225939240","https://openalex.org/W4313188041"],"abstract_inverted_index":{"The":[0,15],"identification":[1],"of":[2,18,27,165,185],"opinions":[3],"and":[4,30,62,65,91,93,115,149],"sentiments":[5],"from":[6,99,126],"tweets":[7,108],"is":[8,20,169,178],"termed":[9],"as":[10],"\u201cTwitter":[11],"Sentiment":[12],"Analysis":[13],"(TSA)\u201d.":[14],"major":[16],"process":[17],"TSA":[19],"to":[21,52,56,181],"determine":[22],"the":[23,28,105,121,128,135,161,166,175,183,186],"sentiment":[24,83],"or":[25,37],"polarity":[26],"tweet":[29],"then":[31],"classifying":[32],"them":[33],"into":[34],"a":[35,79,94],"negative":[36],"positive":[38],"tweet.":[39],"There":[40],"are":[41,109,124,132,142,151],"several":[42],"methods":[43],"introduced":[44],"for":[45],"carrying":[46],"out":[47,180],"TSA,":[48],"however,":[49],"it":[50],"remains":[51],"be":[53,71],"challenging":[54],"due":[55],"slang":[57],"words,":[58],"modern":[59],"accents,":[60],"grammatical":[61],"spelling":[63],"mistakes,":[64],"other":[66],"issues":[67],"that":[68,85],"could":[69],"not":[70],"solved":[72],"by":[73,154],"existing":[74],"techniques.":[75],"This":[76],"work":[77],"develops":[78],"novel":[80],"customized":[81],"BERT-oriented":[82],"classification":[84],"encompasses":[86],"two":[87],"main":[88],"phases:":[89],"pre-processing":[90],"tokenization,":[92],"\u201cCustomized":[95],"Bidirectional":[96],"Encoder":[97],"Representations":[98],"Transformers":[100],"(BERT)\u201d-based":[101],"classification.":[102],"At":[103],"first,":[104],"gathered":[106],"raw":[107],"pre-processed":[110],"under":[111],"stop-word":[112],"removal,":[113],"stemming":[114],"blank":[116],"space":[117],"removal.":[118],"After":[119],"pre-processing,":[120],"semantic":[122],"words":[123,130],"obtained,":[125],"which":[127],"meaningful":[129],"(tokens)":[131],"extracted":[133,140],"in":[134],"tokenization":[136],"phase.":[137],"Consequently,":[138],"these":[139],"tokens":[141],"classified":[143],"via":[144],"optimized":[145],"BERT,":[146],"where":[147],"biases":[148],"weight":[150],"tuned":[152],"optimally":[153],"Particle-Assisted":[155],"Circle":[156],"Updating":[157],"Position":[158],"(PA-CUP).":[159],"Moreover,":[160],"maximal":[162],"sequence":[163],"length":[164],"BERT":[167],"encoder":[168],"updated":[170],"using":[171],"standard":[172],"PA-CUP.":[173],"Finally,":[174],"performance":[176],"analysis":[177],"carried":[179],"substantiate":[182],"enhancement":[184],"proposed":[187],"model.":[188]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}