{"id":"https://openalex.org/W4379233579","doi":"https://doi.org/10.1109/access.2023.3277787","title":"Data-Augmentation for Bangla-English Code-Mixed Sentiment Analysis: Enhancing Cross Linguistic Contextual Understanding","display_name":"Data-Augmentation for Bangla-English Code-Mixed Sentiment Analysis: Enhancing Cross Linguistic Contextual Understanding","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4379233579","doi":"https://doi.org/10.1109/access.2023.3277787"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3277787","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3277787","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10129187.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10129187.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103000102","display_name":"Mohammad Tareq","orcid":"https://orcid.org/0000-0003-2133-5283"},"institutions":[{"id":"https://openalex.org/I205746353","display_name":"University of Dhaka","ror":"https://ror.org/05wv2vq37","country_code":"BD","type":"education","lineage":["https://openalex.org/I205746353"]}],"countries":["BD"],"is_corresponding":true,"raw_author_name":"Mohammad Tareq","raw_affiliation_strings":["Department of Accounting and Information Systems, University of Dhaka, Dhaka, Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Accounting and Information Systems, University of Dhaka, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I205746353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101642414","display_name":"Md. Fokhrul Islam","orcid":"https://orcid.org/0000-0002-0031-4937"},"institutions":[{"id":"https://openalex.org/I205746353","display_name":"University of Dhaka","ror":"https://ror.org/05wv2vq37","country_code":"BD","type":"education","lineage":["https://openalex.org/I205746353"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Md. Fokhrul Islam","raw_affiliation_strings":["Department of Robotics and Mechatronics Engineering, University of Dhaka, Dhaka, Bangladesh"],"raw_orcid":"https://orcid.org/0000-0002-0031-4937","affiliations":[{"raw_affiliation_string":"Department of Robotics and Mechatronics Engineering, University of Dhaka, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I205746353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051157079","display_name":"Swakshar Deb","orcid":"https://orcid.org/0000-0001-5847-248X"},"institutions":[{"id":"https://openalex.org/I205746353","display_name":"University of Dhaka","ror":"https://ror.org/05wv2vq37","country_code":"BD","type":"education","lineage":["https://openalex.org/I205746353"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Swakshar Deb","raw_affiliation_strings":["Department of Robotics and Mechatronics Engineering, University of Dhaka, Dhaka, Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Robotics and Mechatronics Engineering, University of Dhaka, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I205746353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078715775","display_name":"Sejuti Rahman","orcid":"https://orcid.org/0000-0001-6226-2434"},"institutions":[{"id":"https://openalex.org/I205746353","display_name":"University of Dhaka","ror":"https://ror.org/05wv2vq37","country_code":"BD","type":"education","lineage":["https://openalex.org/I205746353"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Sejuti Rahman","raw_affiliation_strings":["Department of Robotics and Mechatronics Engineering, University of Dhaka, Dhaka, Bangladesh"],"raw_orcid":"https://orcid.org/0000-0001-6226-2434","affiliations":[{"raw_affiliation_string":"Department of Robotics and Mechatronics Engineering, University of Dhaka, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I205746353"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053407940","display_name":"Abdullah Al Mahmud","orcid":"https://orcid.org/0000-0003-1140-4505"},"institutions":[{"id":"https://openalex.org/I205746353","display_name":"University of Dhaka","ror":"https://ror.org/05wv2vq37","country_code":"BD","type":"education","lineage":["https://openalex.org/I205746353"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Abdullah Al Mahmud","raw_affiliation_strings":["Department of Banking and Insurance, University of Dhaka, Dhaka, Bangladesh"],"raw_orcid":"https://orcid.org/0000-0003-1140-4505","affiliations":[{"raw_affiliation_string":"Department of Banking and Insurance, University of Dhaka, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I205746353"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5103000102"],"corresponding_institution_ids":["https://openalex.org/I205746353"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":5.8751,"has_fulltext":true,"cited_by_count":35,"citation_normalized_percentile":{"value":0.96980331,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"11","issue":null,"first_page":"51657","last_page":"51671"},"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/T10028","display_name":"Topic Modeling","score":0.9995999932289124,"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":0.9905999898910522,"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":0.8491079807281494},{"id":"https://openalex.org/keywords/word2vec","display_name":"Word2vec","score":0.7675608992576599},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.7026583552360535},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.663644015789032},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.6348966360092163},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6249366402626038},{"id":"https://openalex.org/keywords/bengali","display_name":"Bengali","score":0.5553855299949646},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.476578950881958},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.41782188415527344},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3466641902923584},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.3027859330177307},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.130843847990036},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.10071790218353271}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8491079807281494},{"id":"https://openalex.org/C2776461190","wikidata":"https://www.wikidata.org/wiki/Q22673982","display_name":"Word2vec","level":3,"score":0.7675608992576599},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.7026583552360535},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.663644015789032},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.6348966360092163},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6249366402626038},{"id":"https://openalex.org/C19235068","wikidata":"https://www.wikidata.org/wiki/Q9610","display_name":"Bengali","level":2,"score":0.5553855299949646},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.476578950881958},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.41782188415527344},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3466641902923584},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.3027859330177307},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.130843847990036},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.10071790218353271},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3277787","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3277787","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10129187.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:193822f7daa74fb7b09d51aeabf0d872","is_oa":true,"landing_page_url":"https://doaj.org/article/193822f7daa74fb7b09d51aeabf0d872","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 51657-51671 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3277787","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3277787","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10129187.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320323933","display_name":"University of Dhaka","ror":"https://ror.org/05wv2vq37"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4379233579.pdf","grobid_xml":"https://content.openalex.org/works/W4379233579.grobid-xml"},"referenced_works_count":90,"referenced_works":["https://openalex.org/W92860568","https://openalex.org/W342285082","https://openalex.org/W1572786359","https://openalex.org/W1743243001","https://openalex.org/W1875842236","https://openalex.org/W2053154970","https://openalex.org/W2084046180","https://openalex.org/W2139645402","https://openalex.org/W2142074148","https://openalex.org/W2144945507","https://openalex.org/W2159359879","https://openalex.org/W2160660844","https://openalex.org/W2188598232","https://openalex.org/W2250539671","https://openalex.org/W2251033195","https://openalex.org/W2251765408","https://openalex.org/W2294774419","https://openalex.org/W2295598076","https://openalex.org/W2330376137","https://openalex.org/W2385640884","https://openalex.org/W2395118771","https://openalex.org/W2402354285","https://openalex.org/W2487770199","https://openalex.org/W2493916176","https://openalex.org/W2514567832","https://openalex.org/W2548740357","https://openalex.org/W2551614576","https://openalex.org/W2564663390","https://openalex.org/W2573798117","https://openalex.org/W2591223967","https://openalex.org/W2593754960","https://openalex.org/W2769280657","https://openalex.org/W2786553709","https://openalex.org/W2789671692","https://openalex.org/W2793276877","https://openalex.org/W2798348125","https://openalex.org/W2882319491","https://openalex.org/W2886890203","https://openalex.org/W2887800417","https://openalex.org/W2896457183","https://openalex.org/W2902888752","https://openalex.org/W2909469149","https://openalex.org/W2914120296","https://openalex.org/W2914693643","https://openalex.org/W2952638691","https://openalex.org/W2962738716","https://openalex.org/W2963729324","https://openalex.org/W2963944267","https://openalex.org/W2970217403","https://openalex.org/W2970854433","https://openalex.org/W2971207485","https://openalex.org/W2972740340","https://openalex.org/W2973088264","https://openalex.org/W2973887018","https://openalex.org/W2978017171","https://openalex.org/W2986191653","https://openalex.org/W2987154291","https://openalex.org/W2997575635","https://openalex.org/W3004521794","https://openalex.org/W3009082425","https://openalex.org/W3010756172","https://openalex.org/W3034196716","https://openalex.org/W3034724424","https://openalex.org/W3094223050","https://openalex.org/W3104688854","https://openalex.org/W3104723404","https://openalex.org/W3105234097","https://openalex.org/W4212863985","https://openalex.org/W4239510810","https://openalex.org/W4239946314","https://openalex.org/W4294170691","https://openalex.org/W4298393544","https://openalex.org/W4299579390","https://openalex.org/W4300849630","https://openalex.org/W4385245566","https://openalex.org/W4394659876","https://openalex.org/W6637805623","https://openalex.org/W6682691769","https://openalex.org/W6691568843","https://openalex.org/W6711939044","https://openalex.org/W6739901393","https://openalex.org/W6745388339","https://openalex.org/W6749503049","https://openalex.org/W6755207826","https://openalex.org/W6756737829","https://openalex.org/W6765510844","https://openalex.org/W6767737316","https://openalex.org/W6768851824","https://openalex.org/W6777795097","https://openalex.org/W6785036610"],"related_works":["https://openalex.org/W2611554154","https://openalex.org/W4212978906","https://openalex.org/W3003606604","https://openalex.org/W2946409105","https://openalex.org/W2795129682","https://openalex.org/W3040974839","https://openalex.org/W2985392712","https://openalex.org/W4388996947","https://openalex.org/W3133567596","https://openalex.org/W2798009317"],"abstract_inverted_index":{"In":[0],"today\u2019s":[1],"digital":[2],"world,":[3],"automated":[4,86,232],"sentiment":[5,87,123,233],"analysis":[6,88,234],"from":[7,45,131],"online":[8,96],"reviews":[9,97],"can":[10,41,145,182],"contribute":[11],"to":[12,32,48,69,160],"a":[13,26,34,74,137,157,240],"wide":[14],"variety":[15],"of":[16,25,37,81,98,199,244],"decision-making":[17],"processes.":[18],"One":[19],"example":[20],"is":[21],"examining":[22],"typical":[23],"perceptions":[24],"product":[27,49],"based":[28],"on":[29,54,221,235],"customer":[30,46],"feedbacks":[31],"have":[33],"better":[35],"understanding":[36],"consumer":[38],"expectations,":[39],"which":[40],"help":[42,183],"enhance":[43],"everything":[44],"service":[47],"offerings.":[50],"Online":[51],"review":[52],"comments,":[53],"the":[55,79,132,154,184,188,196],"other":[56,112,228],"hand,":[57],"frequently":[58],"mix":[59,107],"different":[60,99],"languages,":[61],"use":[62],"non-native":[63],"scripts":[64],"and":[65,101,111,206],"do":[66],"not":[67],"adhere":[68],"strict":[70],"grammar":[71],"norms.":[72],"For":[73],"low-resource":[75],"language":[76],"like":[77],"Bangla,":[78],"lack":[80],"annotated":[82,104],"code-mixed":[83,192,236],"data":[84,141,179,224],"makes":[85],"more":[89],"challenging.":[90],"To":[91],"address":[92],"this,":[93],"we":[94,125,213],"collect":[95],"products":[100],"construct":[102],"an":[103],"Bangla-English":[105,237],"code":[106],"(BE-CM)":[108],"dataset":[109],"(Dataset":[110],"resources":[113],"are":[114],"available":[115],"at":[116],"<uri":[117],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[118],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/fokhruli/CM-seti-anlysis</uri>":[119],").":[120],"On":[121],"our":[122,178,222],"corpus,":[124],"also":[126],"compare":[127],"several":[128],"alternative":[129,229],"models":[130,173,230],"existing":[133,149,200],"literature.":[134],"We":[135],"present":[136],"simple":[138],"but":[139],"effective":[140],"augmentation":[142,180,225],"method":[143,226],"that":[144,169,215],"be":[146],"utilized":[147],"with":[148,177,217,239],"word":[150,171],"embedding":[151,172,219],"algorithms":[152],"without":[153],"need":[155],"for":[156,191],"parallel":[158],"corpus":[159],"improve":[161],"cross-lingual":[162,189,208],"contextual":[163],"understanding.":[164],"Our":[165],"experimental":[166],"results":[167],"suggest":[168],"training":[170],"(e.g.,":[174],"Word2vec,":[175],"FastText)":[176],"strategy":[181],"model":[185],"in":[186,202,231],"capturing":[187],"relationship":[190],"sentences,":[193],"thereby":[194],"improving":[195],"overall":[197],"performance":[198],"classifiers":[201],"both":[203],"supervised":[204],"learning":[205],"zero-shot":[207],"adaptability.":[209],"With":[210],"extensive":[211],"experimentations,":[212],"found":[214],"XGBoost":[216],"Fasttext":[218],"trained":[220],"proposed":[223],"outperforms":[227],"dataset,":[238],"weighted":[241],"F1":[242],"score":[243],"87%.":[245]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":2}],"updated_date":"2026-05-08T15:41:06.802602","created_date":"2025-10-10T00:00:00"}
