{"id":"https://openalex.org/W4388938360","doi":"https://doi.org/10.1109/icccnt56998.2023.10307749","title":"Exploring Multilingual Indian Twitter Sentiment Analysis: A Comparative Study","display_name":"Exploring Multilingual Indian Twitter Sentiment Analysis: A Comparative Study","publication_year":2023,"publication_date":"2023-07-06","ids":{"openalex":"https://openalex.org/W4388938360","doi":"https://doi.org/10.1109/icccnt56998.2023.10307749"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt56998.2023.10307749","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt56998.2023.10307749","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-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/A5093324540","display_name":"A G Devananthan","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Devananthan A G","raw_affiliation_strings":["Amrita Vishwa Vidyapeetham,Amrita School of Computing,Department of Computer Science and Engineering,Amritapuri,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amrita Vishwa Vidyapeetham,Amrita School of Computing,Department of Computer Science and Engineering,Amritapuri,India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091536457","display_name":"Lekshmi S Nair","orcid":"https://orcid.org/0000-0002-4471-2160"},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Lekshmi S Nair","raw_affiliation_strings":["Amrita Vishwa Vidyapeetham,Amrita School of Computing,Department of Computer Science and Engineering,Amritapuri,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amrita Vishwa Vidyapeetham,Amrita School of Computing,Department of Computer Science and Engineering,Amritapuri,India","institution_ids":["https://openalex.org/I81556334"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4895,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.71973754,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":1.0,"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":1.0,"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":0.9898999929428101,"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":0.9890999794006348,"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":0.8255016803741455},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.7809931635856628},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.6699496507644653},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.592828631401062},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5787555575370789},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5750819444656372},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5518577098846436},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.43454355001449585},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3743501305580139},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3738407790660858},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.347938597202301}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8255016803741455},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.7809931635856628},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6699496507644653},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.592828631401062},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5787555575370789},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5750819444656372},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5518577098846436},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.43454355001449585},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3743501305580139},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3738407790660858},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.347938597202301},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"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:10.1109/icccnt56998.2023.10307749","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt56998.2023.10307749","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2278629362","https://openalex.org/W2796370603","https://openalex.org/W2796452002","https://openalex.org/W2933795049","https://openalex.org/W3157837610","https://openalex.org/W3193246203","https://openalex.org/W3208714452","https://openalex.org/W4214754100","https://openalex.org/W4220866756","https://openalex.org/W4224026172","https://openalex.org/W4281477892","https://openalex.org/W4283020666","https://openalex.org/W4301017865","https://openalex.org/W4312222606","https://openalex.org/W4313313255","https://openalex.org/W4313315003","https://openalex.org/W4313398350","https://openalex.org/W4313596713","https://openalex.org/W4313731776","https://openalex.org/W4372270325","https://openalex.org/W4377700710"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W3089396779","https://openalex.org/W2548633793","https://openalex.org/W3013279174","https://openalex.org/W2941935829","https://openalex.org/W2596247554","https://openalex.org/W4301373556","https://openalex.org/W3132372214","https://openalex.org/W4224284088","https://openalex.org/W4286571989"],"abstract_inverted_index":{"Sentiment":[0],"analysis":[1],"is":[2,82,132],"a":[3,86,135,148,156,191],"valuable":[4,35,174],"method":[5],"for":[6],"analyzing":[7,60],"texts":[8],"and":[9,14,47,56,98,116,183],"understanding":[10,158,194],"the":[11,102,122,152,160,177],"opinions,":[12,182],"attitudes,":[13],"emotions":[15],"expressed":[16,162,185],"toward":[17],"different":[18],"subjects.":[19],"Its":[20],"application":[21],"to":[22,44,77,84,125,133],"large-scale":[23],"data,":[24,153],"particularly":[25],"on":[26,121,167],"social":[27],"media":[28],"platforms":[29],"like":[30],"Twitter":[31,38,70,93,145,168,188],"or":[32],"Facebook,":[33],"offers":[34],"insights.":[36],"However,":[37],"data":[39,71],"presents":[40],"unique":[41],"challenges":[42],"due":[43],"its":[45,53],"complex":[46],"noisy":[48],"nature,":[49],"as":[50,52],"well":[51],"intricate":[54],"syntactic":[55],"semantic":[57],"structures.":[58],"Moreover,":[59],"sentiment":[61,197],"becomes":[62],"even":[63],"more":[64,192],"difficult":[65],"when":[66],"dealing":[67],"with":[68],"multimodal":[69],"in":[72,169,198],"Indian":[73,187],"languages.":[74],"In":[75],"order":[76],"address":[78],"these":[79],"obstacles,":[80],"it":[81],"essential":[83],"create":[85,134],"robust":[87],"framework":[88],"capable":[89,138],"of":[90,114,139,144,151,159,180,195],"effectively":[91,140],"processing":[92],"content":[94],"across":[95,163],"diverse":[96,178],"languages":[97,165],"encodings.":[99],"To":[100],"ascertain":[101],"most":[103],"optimal":[104],"methodology,":[105],"we":[106,154],"carry":[107],"out":[108],"extensive":[109],"assessments":[110],"employing":[111],"multiple":[112],"variations":[113],"multilingual":[115,200],"single-language":[117],"models,":[118],"ultimately":[119],"relying":[120],"evaluation":[123],"outcomes":[124],"guide":[126],"our":[127],"selection":[128],"process.":[129],"Our":[130],"aim":[131],"comprehensive":[136,149],"model":[137],"characterizing":[141],"all":[142],"aspects":[143],"data.":[146],"Through":[147],"examination":[150],"gain":[155],"deeper":[157],"sentiments":[161],"various":[164],"used":[166],"India.":[170],"These":[171],"results":[172],"offer":[173],"insights":[175],"into":[176],"range":[179],"emotions,":[181],"attitudes":[184],"by":[186],"users,":[189],"enabling":[190],"nuanced":[193],"public":[196],"this":[199],"context.":[201]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
