{"id":"https://openalex.org/W4313156585","doi":"https://doi.org/10.1109/icccnt54827.2022.9984616","title":"Retracted: Multiple Bangla Sentence Classification using Machine Learning and Deep Learning Algorithms","display_name":"Retracted: Multiple Bangla Sentence Classification using Machine Learning and Deep Learning Algorithms","publication_year":2022,"publication_date":"2022-10-03","ids":{"openalex":"https://openalex.org/W4313156585","doi":"https://doi.org/10.1109/icccnt54827.2022.9984616"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt54827.2022.9984616","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt54827.2022.9984616","pdf_url":null,"source":{"id":"https://openalex.org/S4363607876","display_name":"2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 13th 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/A5106825230","display_name":"Mehedi Hasan","orcid":"https://orcid.org/0009-0005-2906-984X"},"institutions":[{"id":"https://openalex.org/I200606013","display_name":"Daffodil International University","ror":"https://ror.org/052t4a858","country_code":"BD","type":"education","lineage":["https://openalex.org/I200606013"]}],"countries":["BD"],"is_corresponding":true,"raw_author_name":"Mehedi Hasan","raw_affiliation_strings":["Daffodil International University,Department of Computer Science and Engineering,Dhaka,Bangladesh,1341"],"affiliations":[{"raw_affiliation_string":"Daffodil International University,Department of Computer Science and Engineering,Dhaka,Bangladesh,1341","institution_ids":["https://openalex.org/I200606013"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041508713","display_name":"Shenjuti Paul Puja","orcid":null},"institutions":[{"id":"https://openalex.org/I200606013","display_name":"Daffodil International University","ror":"https://ror.org/052t4a858","country_code":"BD","type":"education","lineage":["https://openalex.org/I200606013"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Shenjuti Paul Puja","raw_affiliation_strings":["Daffodil International University,Department of Computer Science and Engineering,Dhaka,Bangladesh,1341"],"affiliations":[{"raw_affiliation_string":"Daffodil International University,Department of Computer Science and Engineering,Dhaka,Bangladesh,1341","institution_ids":["https://openalex.org/I200606013"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053122758","display_name":"Md. Hasan Imam Bijoy","orcid":"https://orcid.org/0000-0002-4756-3025"},"institutions":[{"id":"https://openalex.org/I200606013","display_name":"Daffodil International University","ror":"https://ror.org/052t4a858","country_code":"BD","type":"education","lineage":["https://openalex.org/I200606013"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Md. Hasan Imam Bijoy","raw_affiliation_strings":["Daffodil International University,Department of Computer Science and Engineering,Dhaka,Bangladesh,1341"],"affiliations":[{"raw_affiliation_string":"Daffodil International University,Department of Computer Science and Engineering,Dhaka,Bangladesh,1341","institution_ids":["https://openalex.org/I200606013"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068374271","display_name":"Abdus Sattar","orcid":"https://orcid.org/0000-0003-3863-3113"},"institutions":[{"id":"https://openalex.org/I200606013","display_name":"Daffodil International University","ror":"https://ror.org/052t4a858","country_code":"BD","type":"education","lineage":["https://openalex.org/I200606013"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Abdus Sattar","raw_affiliation_strings":["Daffodil International University,Department of Computer Science and Engineering,Dhaka,Bangladesh,1341"],"affiliations":[{"raw_affiliation_string":"Daffodil International University,Department of Computer Science and Engineering,Dhaka,Bangladesh,1341","institution_ids":["https://openalex.org/I200606013"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100699810","display_name":"Md. Mahbubur Rahman","orcid":"https://orcid.org/0009-0000-2680-2309"},"institutions":[{"id":"https://openalex.org/I200606013","display_name":"Daffodil International University","ror":"https://ror.org/052t4a858","country_code":"BD","type":"education","lineage":["https://openalex.org/I200606013"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Md. Mahbubur Rahman","raw_affiliation_strings":["Daffodil International University,Department of Computer Science and Engineering,Dhaka,Bangladesh,1341"],"affiliations":[{"raw_affiliation_string":"Daffodil International University,Department of Computer Science and Engineering,Dhaka,Bangladesh,1341","institution_ids":["https://openalex.org/I200606013"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5106825230"],"corresponding_institution_ids":["https://openalex.org/I200606013"],"apc_list":null,"apc_paid":null,"fwci":0.6277,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.68813272,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":true,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9945999979972839,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9945999979972839,"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":0.9781000018119812,"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":0.9761000275611877,"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/bengali","display_name":"Bengali","score":0.9166874885559082},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8504726886749268},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8110048174858093},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.751591682434082},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.4613921642303467},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43549636006355286}],"concepts":[{"id":"https://openalex.org/C19235068","wikidata":"https://www.wikidata.org/wiki/Q9610","display_name":"Bengali","level":2,"score":0.9166874885559082},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8504726886749268},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8110048174858093},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.751591682434082},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.4613921642303467},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43549636006355286}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt54827.2022.9984616","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt54827.2022.9984616","pdf_url":null,"source":{"id":"https://openalex.org/S4363607876","display_name":"2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.8600000143051147}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1565201084","https://openalex.org/W1985290879","https://openalex.org/W2090240037","https://openalex.org/W2126698653","https://openalex.org/W2136132422","https://openalex.org/W2371638596","https://openalex.org/W2538830880","https://openalex.org/W2585523118","https://openalex.org/W2591546050","https://openalex.org/W2743354079","https://openalex.org/W2747680751","https://openalex.org/W2753032179","https://openalex.org/W2791521493","https://openalex.org/W2888133020","https://openalex.org/W2899550515","https://openalex.org/W2915045220","https://openalex.org/W2944851425","https://openalex.org/W2944954104","https://openalex.org/W2955463050","https://openalex.org/W2974781999","https://openalex.org/W3094065215","https://openalex.org/W3154655256","https://openalex.org/W3169774531","https://openalex.org/W3197459991","https://openalex.org/W3214208410","https://openalex.org/W4302995120","https://openalex.org/W6623737539","https://openalex.org/W6680298704","https://openalex.org/W6733077585","https://openalex.org/W6742783484","https://openalex.org/W6743868085","https://openalex.org/W6758927582","https://openalex.org/W6794203694","https://openalex.org/W6796815103"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W2028401451","https://openalex.org/W2769530083","https://openalex.org/W4321369474","https://openalex.org/W3009238340","https://openalex.org/W4360585206","https://openalex.org/W3161006337","https://openalex.org/W4285208911","https://openalex.org/W3082895349"],"abstract_inverted_index":{"Text":[0],"classification":[1,31],"is":[2,47,53,70,101,143],"an":[3,102,198],"essential":[4],"and":[5,56,96,123,157,175,190,222,238],"the":[6,23,44,63,66,72,78,132,135,139,163,178,213,219,234,239],"most":[7,73],"well-known":[8],"topic":[9],"of":[10,16,22,25,65,104,200,215],"Artificial":[11],"Intelligence":[12],"as":[13,49,51],"a":[14,34,81,105,109,184,207],"discipline":[15],"Natural":[17,37,240],"Language":[18,38],"Processing":[19,39],"(NLP).":[20],"Because":[21],"abundance":[24],"textual":[26,216],"documents":[27],"in":[28,41,54,62,77,90,134,145,159,209,218],"Bangla,":[29,42],"text":[30,117,136],"has":[32,59],"become":[33],"crucial":[35],"subject.":[36],"(NLP)":[40,243],"at":[43,181],"same":[45],"time,":[46],"not":[48],"developed":[50],"it":[52,147],"English,":[55],"little":[57],"study":[58],"been":[60],"done":[61],"context":[64],"Bengali":[67],"dialect,":[68],"which":[69],"among":[71],"widely":[74],"used":[75],"languages":[76],"world.":[79],"As":[80,183],"consequence,":[82],"it's":[83],"past":[84],"time":[85],"to":[86,92,130],"address":[87],"this":[88],"issue":[89],"order":[91],"effective":[93],"information":[94],"management":[95],"data":[97,217],"structure.":[98],"The":[99],"following":[100],"example":[103],"Bangla":[106,237],"phrase":[107],"from":[108],"narrative:":[110],"assertive,":[111],"interrogative,":[112],"imperative,":[113],"optative,":[114],"or":[115],"exclamatory":[116],"document.":[118],"Numerous":[119],"machine":[120,164],"learning":[121,125,165,186],"(ML)":[122,166],"deep":[124,185],"(DL)":[126],"algorithms":[127],"are":[128,169],"applied":[129],"categorize":[131],"sentence":[133,155],"document":[137],"using":[138],"dataset.":[140],"Our":[141,203],"dataset":[142,231],"unique":[144],"that":[146,171],"was":[148],"created":[149],"by":[150,228],"hand":[151],"while":[152],"keeping":[153],"Bangla's":[154],"structure":[156],"origin":[158],"perspective.":[160],"Within":[161],"all":[162],"techniques,":[167],"there":[168],"two":[170],"stands":[172],"out:":[173],"RN":[174],"DT":[176],"provides":[177],"supreme":[179],"exactness":[180],"89.42%.":[182],"strategy,":[187],"between":[188,236],"LSTM":[189,192],"RNN,":[191],"exhibit":[193],"superlative":[194],"accuracy,":[195],"with":[196],"having":[197],"accuracy":[199],"88.2":[201],"percent.":[202],"experiment":[204],"also":[205],"offers":[206],"benefit":[208],"NLP":[210],"for":[211,232],"detecting":[212],"expression":[214],"future":[220],"execution,":[221],"hybrid":[223],"approaches":[224],"will":[225],"be":[226],"performed":[227],"increasing":[229],"our":[230],"improving":[233],"interaction":[235],"language":[241],"processing":[242],"field.":[244]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
