{"id":"https://openalex.org/W4416229080","doi":"https://doi.org/10.1145/3777372","title":"Emotion Classification for Hindi Text: A Hybrid Approach","display_name":"Emotion Classification for Hindi Text: A Hybrid Approach","publication_year":2025,"publication_date":"2025-11-14","ids":{"openalex":"https://openalex.org/W4416229080","doi":"https://doi.org/10.1145/3777372"},"language":"en","primary_location":{"id":"doi:10.1145/3777372","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3777372","pdf_url":null,"source":{"id":"https://openalex.org/S4306421405","display_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","issn_l":"2375-4699","issn":["2375-4699","2375-4702"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","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/A5068966499","display_name":"Dhanashree Kulkarni","orcid":"https://orcid.org/0000-0003-3906-3298"},"institutions":[{"id":"https://openalex.org/I4210134084","display_name":"Institute of Engineering Science","ror":"https://ror.org/03zeyg902","country_code":"RU","type":"facility","lineage":["https://openalex.org/I1313323035","https://openalex.org/I4210134084","https://openalex.org/I4210164537"]},{"id":"https://openalex.org/I4210145362","display_name":"Institute of Technology Management","ror":"https://ror.org/03c4qaa56","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1340206300","https://openalex.org/I4210145362","https://openalex.org/I4210150591"]}],"countries":["IN","RU"],"is_corresponding":false,"raw_author_name":"Dhanashree Kulkarni","raw_affiliation_strings":["Computer Science and Engineering, Angadi Institute of Technology and Management","Computer Science and Engineering, Angadi Institute of Technology and Management, Belgaum, India"],"raw_orcid":"https://orcid.org/0000-0003-3906-3298","affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, Angadi Institute of Technology and Management","institution_ids":["https://openalex.org/I4210134084"]},{"raw_affiliation_string":"Computer Science and Engineering, Angadi Institute of Technology and Management, Belgaum, India","institution_ids":["https://openalex.org/I4210145362"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Anand Deshpande","orcid":"https://orcid.org/0000-0002-1500-0981"},"institutions":[{"id":"https://openalex.org/I4210117802","display_name":"Institute of Electronics","ror":"https://ror.org/0299eyn73","country_code":"BG","type":"nonprofit","lineage":["https://openalex.org/I24768866","https://openalex.org/I4210117802"]}],"countries":["BG"],"is_corresponding":false,"raw_author_name":"Anand Deshpande","raw_affiliation_strings":["Electronics and Communication Engineering, Angadi Institute of Technology and Management","Electronics and Communication engineering, Angadi Institute of Technology and Management, Belgaum, India"],"raw_orcid":"https://orcid.org/0000-0002-1500-0981","affiliations":[{"raw_affiliation_string":"Electronics and Communication Engineering, Angadi Institute of Technology and Management","institution_ids":["https://openalex.org/I4210117802"]},{"raw_affiliation_string":"Electronics and Communication engineering, Angadi Institute of Technology and Management, Belgaum, India","institution_ids":["https://openalex.org/I4210117802"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013788170","display_name":"Vania V. Estrela","orcid":"https://orcid.org/0000-0002-4465-7691"},"institutions":[{"id":"https://openalex.org/I161127581","display_name":"Universidade Federal Fluminense","ror":"https://ror.org/02rjhbb08","country_code":"BR","type":"education","lineage":["https://openalex.org/I161127581"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Vania Estrela","raw_affiliation_strings":["Telecommunications Department, Universidade Federal Fluminense","Telecommunications Department, Universidade Federal Fluminense, Niteroi, Brazil"],"raw_orcid":"https://orcid.org/0000-0002-4465-7691","affiliations":[{"raw_affiliation_string":"Telecommunications Department, Universidade Federal Fluminense","institution_ids":["https://openalex.org/I161127581"]},{"raw_affiliation_string":"Telecommunications Department, Universidade Federal Fluminense, Niteroi, Brazil","institution_ids":["https://openalex.org/I161127581"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16433894,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"24","issue":"12","first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9197999835014343,"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":0.9197999835014343,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.029600000008940697,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.017100000753998756,"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/hindi","display_name":"Hindi","score":0.6941999793052673},{"id":"https://openalex.org/keywords/lexicon","display_name":"Lexicon","score":0.6133999824523926},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5493999719619751},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5480999946594238},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.4629000127315521},{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.4562000036239624},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.4077000021934509},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.3869999945163727}],"concepts":[{"id":"https://openalex.org/C519982507","wikidata":"https://www.wikidata.org/wiki/Q1568","display_name":"Hindi","level":2,"score":0.6941999793052673},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6933000087738037},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6385999917984009},{"id":"https://openalex.org/C2778121359","wikidata":"https://www.wikidata.org/wiki/Q8096","display_name":"Lexicon","level":2,"score":0.6133999824523926},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5493999719619751},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5480999946594238},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.48730000853538513},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4697999954223633},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4629000127315521},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.4562000036239624},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.4077000021934509},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.3869999945163727},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.3806000053882599},{"id":"https://openalex.org/C123406163","wikidata":"https://www.wikidata.org/wiki/Q82042","display_name":"Part of speech","level":2,"score":0.35440000891685486},{"id":"https://openalex.org/C202269582","wikidata":"https://www.wikidata.org/wiki/Q2644277","display_name":"Complementarity (molecular biology)","level":2,"score":0.3041999936103821},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.29429998993873596},{"id":"https://openalex.org/C50897621","wikidata":"https://www.wikidata.org/wiki/Q2665508","display_name":"Hybrid system","level":2,"score":0.2858000099658966},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.2808000147342682},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.27720001339912415},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.2736000120639801},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.267300009727478},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.26330000162124634},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.260699987411499},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.25440001487731934}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3777372","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3777372","pdf_url":null,"source":{"id":"https://openalex.org/S4306421405","display_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","issn_l":"2375-4699","issn":["2375-4699","2375-4702"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2032031606","https://openalex.org/W2040467972","https://openalex.org/W2063027075","https://openalex.org/W2165938099","https://openalex.org/W2509269596","https://openalex.org/W2785339550","https://openalex.org/W2808204637","https://openalex.org/W2810216287","https://openalex.org/W2898921249","https://openalex.org/W2903907401","https://openalex.org/W2963651736","https://openalex.org/W2963849072","https://openalex.org/W2966269089","https://openalex.org/W2979599767","https://openalex.org/W3033909024","https://openalex.org/W3215328431","https://openalex.org/W4206609764","https://openalex.org/W4206931844","https://openalex.org/W4312075226","https://openalex.org/W4313398350","https://openalex.org/W4392471831","https://openalex.org/W4404824435","https://openalex.org/W4413302801"],"related_works":[],"abstract_inverted_index":{"Emotion":[0],"classification":[1,39],"is":[2,100],"a":[3,34,44,50,92,139],"critical":[4],"component":[5],"in":[6,12,19,23,40,98,117],"understanding":[7],"human":[8],"expression":[9],"and":[10,49,65,112,141,153],"interaction":[11],"textual":[13,157],"data.":[14],"However,":[15],"achieving":[16],"high":[17],"accuracy":[18,154],"emotion":[20,38,96,146],"classification,":[21],"particularly":[22],"complex":[24],"languages":[25],"like":[26],"Hindi,":[27],"presents":[28,138],"several":[29],"challenges.":[30],"This":[31],"article":[32],"proposes":[33],"hybrid":[35,93,106,128,136],"method":[36],"for":[37,47,53,95,144,151],"Hindi":[41,99,145],"text,":[42],"combining":[43],"knowledge-based":[45],"approach":[46,52,116,143],"stability":[48,152],"statistical":[51],"accuracy.":[54,120],"Machine":[55],"learning":[56],"(ML)":[57],"techniques,":[58],"while":[59],"powerful,":[60],"require":[61],"extensive":[62],"training":[63],"data":[64],"may":[66],"not":[67],"generalize":[68],"well":[69],"across":[70,79,155],"different":[71],"domains.":[72],"Conversely,":[73],"lexicon-based":[74],"methods":[75],"offer":[76],"consistent":[77],"performance":[78,132],"domains":[80,158],"but":[81],"often":[82],"lack":[83],"precision.":[84],"To":[85],"leverage":[86],"the":[87,105,113,127,149],"advantages":[88],"of":[89,119],"both":[90,109],"methods,":[91],"model":[94,107,137],"analysis":[97],"presented.":[101],"Results":[102],"indicate":[103],"that":[104],"outperforms":[108],"individual":[110],"classifiers":[111],"simple":[114],"lexicon":[115],"terms":[118],"Specifically,":[121],"incorporating":[122],"Multinomial":[123],"Na\u00efve":[124],"Bayes":[125],"within":[126],"framework":[129],"yields":[130],"significant":[131],"improvements.":[133],"The":[134],"proposed":[135],"viable":[140],"superior":[142],"analysis,":[147],"balancing":[148],"need":[150],"varied":[156]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-11-14T00:00:00"}
