{"id":"https://openalex.org/W4295934480","doi":"https://doi.org/10.1109/taffc.2022.3206891","title":"Improving the Performance of Sentiment Analysis Using Enhanced Preprocessing Technique and Artificial Neural Network","display_name":"Improving the Performance of Sentiment Analysis Using Enhanced Preprocessing Technique and Artificial Neural Network","publication_year":2022,"publication_date":"2022-09-15","ids":{"openalex":"https://openalex.org/W4295934480","doi":"https://doi.org/10.1109/taffc.2022.3206891"},"language":"en","primary_location":{"id":"doi:10.1109/taffc.2022.3206891","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taffc.2022.3206891","pdf_url":null,"source":{"id":"https://openalex.org/S104780363","display_name":"IEEE Transactions on Affective Computing","issn_l":"1949-3045","issn":["1949-3045","2371-9850"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Affective Computing","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/A5070210012","display_name":"Ankit Thakkar","orcid":"https://orcid.org/0000-0001-8328-6101"},"institutions":[{"id":"https://openalex.org/I165831266","display_name":"Nirma University","ror":"https://ror.org/05qkq7x38","country_code":"IN","type":"education","lineage":["https://openalex.org/I165831266"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Ankit Thakkar","raw_affiliation_strings":["Department of Computer Science and Engineering, Institute of Technology, Nirma University, Ahmedabad, Gujarat, India"],"raw_orcid":"https://orcid.org/0000-0001-8328-6101","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Institute of Technology, Nirma University, Ahmedabad, Gujarat, India","institution_ids":["https://openalex.org/I165831266"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084633846","display_name":"Dhara Mungra","orcid":null},"institutions":[{"id":"https://openalex.org/I165831266","display_name":"Nirma University","ror":"https://ror.org/05qkq7x38","country_code":"IN","type":"education","lineage":["https://openalex.org/I165831266"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Dhara Mungra","raw_affiliation_strings":["Department of Computer Science and Engineering, Institute of Technology, Nirma University, Ahmedabad, Gujarat, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Institute of Technology, Nirma University, Ahmedabad, Gujarat, India","institution_ids":["https://openalex.org/I165831266"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081979419","display_name":"Anjali Agrawal","orcid":"https://orcid.org/0000-0002-6725-7500"},"institutions":[{"id":"https://openalex.org/I165831266","display_name":"Nirma University","ror":"https://ror.org/05qkq7x38","country_code":"IN","type":"education","lineage":["https://openalex.org/I165831266"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anjali Agrawal","raw_affiliation_strings":["Department of Computer Science and Engineering, Institute of Technology, Nirma University, Ahmedabad, Gujarat, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Institute of Technology, Nirma University, Ahmedabad, Gujarat, India","institution_ids":["https://openalex.org/I165831266"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082273799","display_name":"Kinjal Chaudhari","orcid":"https://orcid.org/0000-0003-2085-3062"},"institutions":[{"id":"https://openalex.org/I165831266","display_name":"Nirma University","ror":"https://ror.org/05qkq7x38","country_code":"IN","type":"education","lineage":["https://openalex.org/I165831266"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kinjal Chaudhari","raw_affiliation_strings":["Department of Computer Science and Engineering, Institute of Technology, Nirma University, Ahmedabad, Gujarat, India"],"raw_orcid":"https://orcid.org/0000-0003-2085-3062","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Institute of Technology, Nirma University, Ahmedabad, Gujarat, India","institution_ids":["https://openalex.org/I165831266"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5070210012"],"corresponding_institution_ids":["https://openalex.org/I165831266"],"apc_list":null,"apc_paid":null,"fwci":4.3006,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.94885445,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"13","issue":"4","first_page":"1771","last_page":"1782"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9919000267982483,"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":0.9896000027656555,"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/preprocessor","display_name":"Preprocessor","score":0.7868356108665466},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7643035054206848},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7320681810379028},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7016477584838867},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.5141130089759827},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.48086148500442505},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4702538251876831},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.4498172104358673},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4414841830730438},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4178239703178406},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34749191999435425},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.14616042375564575},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13363558053970337},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08500215411186218}],"concepts":[{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.7868356108665466},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7643035054206848},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7320681810379028},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7016477584838867},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.5141130089759827},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.48086148500442505},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4702538251876831},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.4498172104358673},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4414841830730438},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4178239703178406},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34749191999435425},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.14616042375564575},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13363558053970337},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08500215411186218},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taffc.2022.3206891","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taffc.2022.3206891","pdf_url":null,"source":{"id":"https://openalex.org/S104780363","display_name":"IEEE Transactions on Affective Computing","issn_l":"1949-3045","issn":["1949-3045","2371-9850"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Affective Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.5899999737739563}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":84,"referenced_works":["https://openalex.org/W1591514669","https://openalex.org/W1983152866","https://openalex.org/W1998257453","https://openalex.org/W2012070465","https://openalex.org/W2038386897","https://openalex.org/W2098162425","https://openalex.org/W2103333826","https://openalex.org/W2140072035","https://openalex.org/W2141179513","https://openalex.org/W2143017621","https://openalex.org/W2156741031","https://openalex.org/W2306941105","https://openalex.org/W2323377304","https://openalex.org/W2334175399","https://openalex.org/W2435251607","https://openalex.org/W2481902992","https://openalex.org/W2538823291","https://openalex.org/W2541637951","https://openalex.org/W2556605533","https://openalex.org/W2574365209","https://openalex.org/W2578455680","https://openalex.org/W2586733088","https://openalex.org/W2593755883","https://openalex.org/W2594056497","https://openalex.org/W2603530161","https://openalex.org/W2617378603","https://openalex.org/W2619651298","https://openalex.org/W2687524069","https://openalex.org/W2743243853","https://openalex.org/W2755457659","https://openalex.org/W2792682186","https://openalex.org/W2796234690","https://openalex.org/W2802037168","https://openalex.org/W2808079449","https://openalex.org/W2829536470","https://openalex.org/W2886509668","https://openalex.org/W2891412904","https://openalex.org/W2909853325","https://openalex.org/W2910816665","https://openalex.org/W2944636446","https://openalex.org/W2951278869","https://openalex.org/W2959235872","https://openalex.org/W2962918518","https://openalex.org/W2964236337","https://openalex.org/W2969078176","https://openalex.org/W2970181646","https://openalex.org/W2972516797","https://openalex.org/W2972983079","https://openalex.org/W2980227467","https://openalex.org/W2995257080","https://openalex.org/W2999713678","https://openalex.org/W2999786665","https://openalex.org/W3002035942","https://openalex.org/W3003681195","https://openalex.org/W3006129156","https://openalex.org/W3012025766","https://openalex.org/W3016720366","https://openalex.org/W3022371575","https://openalex.org/W3032886784","https://openalex.org/W3034181669","https://openalex.org/W3036910872","https://openalex.org/W3039458202","https://openalex.org/W3080733778","https://openalex.org/W3082504926","https://openalex.org/W3088102655","https://openalex.org/W3093621053","https://openalex.org/W3099880460","https://openalex.org/W3135178882","https://openalex.org/W3186792524","https://openalex.org/W3202775307","https://openalex.org/W3210828003","https://openalex.org/W4206681343","https://openalex.org/W4224307421","https://openalex.org/W4234319836","https://openalex.org/W4286209818","https://openalex.org/W4286593296","https://openalex.org/W6675969814","https://openalex.org/W6717827561","https://openalex.org/W6731944691","https://openalex.org/W6732650773","https://openalex.org/W6763745640","https://openalex.org/W6765906948","https://openalex.org/W6768845502","https://openalex.org/W6785351231"],"related_works":["https://openalex.org/W2989490741","https://openalex.org/W138569904","https://openalex.org/W2367545121","https://openalex.org/W4248881655","https://openalex.org/W2482165163","https://openalex.org/W3010890513","https://openalex.org/W3092506759","https://openalex.org/W2390914021","https://openalex.org/W2389417819","https://openalex.org/W3195278891"],"abstract_inverted_index":{"With":[0],"the":[1,18,60,73,90,114,121,124,130,149,155,165],"presence":[2],"of":[3,7,39,67,75,123],"a":[4,54,64,94,99],"massive":[5],"amount":[6],"digitally":[8],"recorded":[9],"data,":[10],"an":[11],"automated":[12],"computation":[13],"can":[14],"be":[15],"preferable":[16],"over":[17],"manual":[19],"approach":[20,101,126,132,153],"to":[21,58,71,112,129],"evaluate":[22],"sentiments":[23],"within":[24],"given":[25],"textual":[26],"fragments.":[27],"Artificial":[28],"neural":[29],"network":[30],"(ANN)":[31],"is":[32,53,145],"preferred":[33],"for":[34],"sentiment":[35],"analysis":[36],"(SA)":[37],"because":[38],"its":[40],"learning":[41],"ability":[42],"and":[43,57,158],"adaptive":[44],"nature":[45],"towards":[46],"diverse":[47],"data.":[48],"Handling":[49],"negation":[50],"in":[51],"SA":[52,76],"challenging":[55],"task,":[56],"address":[59],"same,":[61],"we":[62,97],"propose":[63,98],"specific":[65],"order":[66],"preprocessing":[68,137],"(PPR)":[69],"steps":[70,139],"enhance":[72],"performance":[74,161],"using":[77],"ANN.":[78],"Typically,":[79],"ANN":[80,115],"weights":[81,116],"are":[82],"randomly":[83],"initialized":[84],"(R-ANN),":[85],"which":[86],"may":[87],"not":[88],"give":[89],"desired":[91],"performance.":[92],"As":[93],"potential":[95],"solution,":[96],"novel":[100],"named":[102,154],"Matching":[103],"features":[104],"with":[105,140],"output":[106],"label":[107],"based":[108],"Advanced":[109],"Technique":[110],"(MAT)":[111],"initialize":[113],"(MAT-ANN).":[117],"Simulation":[118],"results":[119],"conclude":[120],"superiority":[122],"proposed":[125],"PPR+MAT-ANN":[127,143],"compared":[128],"existing":[131,136,150],"EPR+R-ANN":[133],"i.e.,":[134],"integrating":[135],"(EPR)":[138],"R-ANN.":[141],"Moreover,":[142],"architecture":[144],"significantly":[146],"simpler":[147],"than":[148],"deep":[151],"learning-based":[152],"NeuroSent":[156],"tool":[157],"gives":[159],"better":[160],"when":[162],"evaluated":[163],"upon":[164],"Dranziera":[166],"protocol.":[167]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}