{"id":"https://openalex.org/W4400526402","doi":"https://doi.org/10.1109/icmi60790.2024.10585876","title":"Optimizing Multilingual Sentiment Analysis in Low-Resource Languages with Adaptive Pretraining and Strategic Language Selection","display_name":"Optimizing Multilingual Sentiment Analysis in Low-Resource Languages with Adaptive Pretraining and Strategic Language Selection","publication_year":2024,"publication_date":"2024-04-13","ids":{"openalex":"https://openalex.org/W4400526402","doi":"https://doi.org/10.1109/icmi60790.2024.10585876"},"language":"en","primary_location":{"id":"doi:10.1109/icmi60790.2024.10585876","doi":"https://doi.org/10.1109/icmi60790.2024.10585876","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmi60790.2024.10585876","pdf_url":null,"source":{"id":"https://openalex.org/S7407088425","display_name":"IEEE International Conference on Computing and Machine Intelligence (ICMI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 3rd International Conference on Computing and Machine Intelligence (ICMI)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","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/A5092596341","display_name":"Nilanjana Raychawdhary","orcid":"https://orcid.org/0009-0006-8479-1971","observed_orcids":["https://orcid.org/0009-0006-8479-1971"]},"institutions":[{"id":"https://openalex.org/I82497590","display_name":"Auburn University","ror":"https://ror.org/02v80fc35","country_code":"US","type":"education","lineage":["https://openalex.org/I82497590"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nilanjana Raychawdhary","raw_affiliation_strings":["Auburn University,Computer Science &#x0026; Software Engineering,Auburn,AL,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Auburn University,Computer Science &#x0026; Software Engineering,Auburn,AL,USA","institution_ids":["https://openalex.org/I82497590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101814582","display_name":"Amit Kumar Das","orcid":"https://orcid.org/0000-0001-7733-2976","observed_orcids":["https://orcid.org/0000-0001-7733-2976"]},"institutions":[{"id":"https://openalex.org/I82497590","display_name":"Auburn University","ror":"https://ror.org/02v80fc35","country_code":"US","type":"education","lineage":["https://openalex.org/I82497590"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amit Das","raw_affiliation_strings":["Auburn University,Computer Science &#x0026; Software Engineering,Auburn,AL,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Auburn University,Computer Science &#x0026; Software Engineering,Auburn,AL,USA","institution_ids":["https://openalex.org/I82497590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101844843","display_name":"Sutanu Bhattacharya","orcid":"https://orcid.org/0000-0002-3780-5174","observed_orcids":["https://orcid.org/0000-0002-3780-5174"]},"institutions":[{"id":"https://openalex.org/I902671590","display_name":"Auburn University at Montgomery","ror":"https://ror.org/05eynd241","country_code":"US","type":"education","lineage":["https://openalex.org/I902671590"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sutanu Bhattacharya","raw_affiliation_strings":["Auburn University at Montgomery,Computer Science &#x0026; Computer Information Systems,Montgomery,AL,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Auburn University at Montgomery,Computer Science &#x0026; Computer Information Systems,Montgomery,AL,USA","institution_ids":["https://openalex.org/I902671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008283931","display_name":"Gerry Vernon Dozier","orcid":"https://orcid.org/0009-0006-7862-4026","observed_orcids":["https://orcid.org/0009-0006-7862-4026"]},"institutions":[{"id":"https://openalex.org/I82497590","display_name":"Auburn University","ror":"https://ror.org/02v80fc35","country_code":"US","type":"education","lineage":["https://openalex.org/I82497590"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gerry Dozier","raw_affiliation_strings":["Auburn University,Computer Science &#x0026; Software Engineering,Auburn,AL,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Auburn University,Computer Science &#x0026; Software Engineering,Auburn,AL,USA","institution_ids":["https://openalex.org/I82497590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029399576","display_name":"Cheryl Seals","orcid":"https://orcid.org/0000-0002-6701-666X","observed_orcids":["https://orcid.org/0000-0002-6701-666X"]},"institutions":[{"id":"https://openalex.org/I82497590","display_name":"Auburn University","ror":"https://ror.org/02v80fc35","country_code":"US","type":"education","lineage":["https://openalex.org/I82497590"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cheryl D. Seals","raw_affiliation_strings":["Auburn University,Computer Science &#x0026; Software Engineering,Auburn,AL,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Auburn University,Computer Science &#x0026; Software Engineering,Auburn,AL,USA","institution_ids":["https://openalex.org/I82497590"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1549,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.78752142,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9990000128746033,"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":0.9990000128746033,"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":0.000699999975040555,"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/T10181","display_name":"Natural Language Processing Techniques","score":9.999999747378752e-05,"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/multilingual-sentiment-analysis","display_name":"multilingual sentiment analysis","score":0.9860000014305115},{"id":"https://openalex.org/keywords/low-resource-languages","display_name":"low-resource languages","score":0.9959999918937683},{"id":"https://openalex.org/keywords/african-languages","display_name":"African languages","score":0.9850000143051147},{"id":"https://openalex.org/keywords/xlm-r","display_name":"XLM-R","score":0.8040000200271606},{"id":"https://openalex.org/keywords/language-model-pretraining","display_name":"language model pretraining","score":0.6850000023841858},{"id":"https://openalex.org/keywords/language-choice","display_name":"language choice","score":0.7900000214576721},{"id":"https://openalex.org/keywords/linguistic-inclusion","display_name":"linguistic inclusion","score":0.6309999823570251},{"id":"https://openalex.org/keywords/digital-divide","display_name":"digital divide","score":0.8090000152587891},{"id":"https://openalex.org/keywords/language-preservation","display_name":"language preservation","score":0.5529999732971191},{"id":"https://openalex.org/keywords/hausa","display_name":"Hausa language","score":0.6899999976158142},{"id":"https://openalex.org/keywords/yoruba-language","display_name":"Yoruba","score":0.824999988079071},{"id":"https://openalex.org/keywords/igbo","display_name":"Igbo","score":0.8709999918937683},{"id":"https://openalex.org/keywords/swahili-language","display_name":"Swahili language","score":0.7720000147819519},{"id":"https://openalex.org/keywords/kinyarwanda","display_name":"Kinyarwanda","score":0.7929999828338623},{"id":"https://openalex.org/keywords/twi","display_name":"Twi","score":0.5820000171661377},{"id":"https://openalex.org/keywords/xitsonga","display_name":"Xitsonga","score":0.6069999933242798},{"id":"https://openalex.org/keywords/amharic","display_name":"Amharic language","score":0.6850000023841858},{"id":"https://openalex.org/keywords/algerian-arabic","display_name":"Algerian Arabic","score":0.7789999842643738},{"id":"https://openalex.org/keywords/nigerian-pidgin","display_name":"Nigerian Pidgin","score":0.7760000228881836},{"id":"https://openalex.org/keywords/mozambican-portuguese","display_name":"Mozambican Portuguese","score":0.9869999885559082}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7944377660751343},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.7574434280395508},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.5578309297561646},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5353313684463501},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.5195991396903992},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47511109709739685},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmi60790.2024.10585876","doi":"https://doi.org/10.1109/icmi60790.2024.10585876","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmi60790.2024.10585876","pdf_url":null,"source":{"id":"https://openalex.org/S7407088425","display_name":"IEEE International Conference on Computing and Machine Intelligence (ICMI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 3rd International Conference on Computing and Machine Intelligence (ICMI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7390999794006348,"display_name":"Reduced inequalities"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4413277515","https://openalex.org/W4388103000","https://openalex.org/W4411055525","https://openalex.org/W4385571724","https://openalex.org/W4396659704","https://openalex.org/W4385572591","https://openalex.org/W4387928874","https://openalex.org/W4385571293","https://openalex.org/W4385572070","https://openalex.org/W4385572430"],"abstract_inverted_index":{"In":[0],"the":[1,20,64,78,114,135,139,151,166,185,199,214,220,228,246,252,267,289,300],"realm":[2],"of":[3,25,67,118,201,216,222,254,269,302],"natural":[4],"language":[5,121,248],"processing":[6],"(NLP),":[7],"sentiment":[8,39,146,156,171,233],"analysis":[9,157,172],"has":[10],"traditionally":[11,181],"focused":[12],"on":[13,37,138],"resource-rich":[14],"languages":[15,129,178,210],"like":[16],"English,":[17],"often":[18],"overlooking":[19],"linguistic":[21,191,217,263,308],"diversity":[22],"and":[23,61,95,116,262,265,275,294],"potential":[24,253],"low-resource":[26,236],"languages.":[27,108,161],"This":[28,193],"research":[29,74,194],"aims":[30],"to":[31,86,101,110,169,189,198,207,256,277],"ad-dress":[32],"this":[33,88,286],"imbalance":[34],"by":[35,90,203,231],"concentrating":[36],"multilingual":[38,145,232],"classification":[40,147,234],"in":[41,154,177,184,219,235,244,285],"twelve":[42],"African":[43,128,209],"languages:":[44],"Hausa,":[45],"Yoruba,":[46],"Igbo,":[47],"Nigerian":[48],"Pidgin,":[49],"Amharic,":[50],"Algerian":[51],"Arabic,":[52],"Moroccan":[53],"Arabic":[54],"Darija,":[55],"Swahili,":[56],"Kinyarwanda,":[57],"Twi,":[58],"Mozambican":[59],"Portuguese,":[60],"Xitsonga.":[62],"Recognizing":[63],"critical":[65],"lack":[66],"comprehensive":[68],"datasets":[69],"for":[70,80,127,260,291],"these":[71,102,160],"languages,":[72,237],"our":[73,111,238],"not":[75,195],"only":[76,196],"highlights":[77,266],"need":[79],"such":[81],"resources":[82],"but":[83,211],"also":[84,212],"endeavors":[85],"fill":[87],"gap":[89],"assessing":[91],"current":[92],"NLP":[93,202,255],"techniques":[94],"devising":[96],"novel":[97],"methodologies":[98],"specifically":[99],"tailored":[100],"linguistically":[103],"diverse":[104,279,307],"yet":[105],"under-":[106],"resourced":[107],"Central":[109],"study":[112,239,287],"is":[113,124,273],"development":[115,221],"deployment":[117],"a":[119,241,258,278],"transformer-based":[120],"model":[122,137],"that":[123,179,272,299],"intricately":[125],"adapted":[126],"with":[130,173],"limited":[131],"resources.":[132,192],"By":[133,225],"refining":[134],"XLM-R":[136],"AfriSenti-SemEval":[140],"2023":[141],"Shared":[142],"Task":[143],"12":[144],"datasets,":[148],"we":[149],"explore":[150],"model's":[152,167],"efficacy":[153],"handling":[155],"tasks":[158],"across":[159,306],"The":[162,282],"empirical":[163],"results":[164],"demonstrate":[165],"capability":[168],"perform":[170],"considerable":[174],"accuracy,":[175],"even":[176],"have":[180],"been":[182],"marginalized":[183],"digital":[186,247],"sphere":[187],"due":[188],"minimal":[190],"contributes":[197],"field":[200],"extending":[204],"its":[205],"reach":[206],"less-researched":[208],"underscores":[213],"importance":[215],"inclusivity":[218],"AI":[223,296],"technologies.":[224],"successfully":[226],"navigating":[227],"challenges":[229],"posed":[230],"takes":[240],"significant":[242],"stride":[243],"closing":[245],"divide.":[249],"It":[250],"emphasizes":[251],"be":[257],"tool":[259],"cultural":[261],"preservation":[264],"necessity":[268],"developing":[270],"technology":[271,303],"accessible":[274],"relevant":[276],"global":[280],"audience.":[281],"advancements":[283],"made":[284],"pave":[288],"way":[290],"more":[292],"inclusive":[293],"equitable":[295],"applications,":[297],"ensuring":[298],"benefits":[301],"are":[304],"shared":[305],"landscapes.":[309]},"counts_by_year":[{"year":2025,"cited_by_count":4}],"updated_date":"2026-10-05T09:50:58.205359","created_date":"2024-07-12T00:00:00"}
