{"id":"https://openalex.org/W3213050233","doi":"https://doi.org/10.1109/icccnt51525.2021.9579927","title":"Estimating Gender Based On Bengali Conventional Full Name With Various Machine Learning Techniques","display_name":"Estimating Gender Based On Bengali Conventional Full Name With Various Machine Learning Techniques","publication_year":2021,"publication_date":"2021-07-06","ids":{"openalex":"https://openalex.org/W3213050233","doi":"https://doi.org/10.1109/icccnt51525.2021.9579927","mag":"3213050233"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt51525.2021.9579927","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt51525.2021.9579927","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 12th 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/A5032530038","display_name":"Jannatul Ferdous Ani","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":"Jannatul Ferdous Ani","raw_affiliation_strings":["Daffodil International University, Dhaka, Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Daffodil International University, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I200606013"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101907617","display_name":"Mirajul Islam","orcid":"https://orcid.org/0000-0003-2496-443X"},"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":"Mirajul Islam","raw_affiliation_strings":["Daffodil International University, Dhaka, Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Daffodil International University, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I200606013"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067934155","display_name":"Nushrat Jahan Ria","orcid":"https://orcid.org/0000-0001-5340-8673"},"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":"Nushrat Jahan Ria","raw_affiliation_strings":["Daffodil International University, Dhaka, Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Daffodil International University, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I200606013"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045788474","display_name":"Sharmin Akter","orcid":"https://orcid.org/0000-0001-8210-3959"},"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":"Sharmin Akter","raw_affiliation_strings":["Daffodil International University, Dhaka, Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Daffodil International University, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I200606013"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032200051","display_name":"Abu Kaisar Mohammad Masum","orcid":"https://orcid.org/0000-0003-3190-9041"},"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":"Abu Kaisar Mohammad Masum","raw_affiliation_strings":["Daffodil International University, Dhaka, Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Daffodil International University, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I200606013"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8396,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.79381933,"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":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12380","display_name":"Authorship Attribution and Profiling","score":0.9886999726295471,"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/T12380","display_name":"Authorship Attribution and Profiling","score":0.9886999726295471,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7609251737594604},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7375336289405823},{"id":"https://openalex.org/keywords/bengali","display_name":"Bengali","score":0.6879938840866089},{"id":"https://openalex.org/keywords/confusion-matrix","display_name":"Confusion matrix","score":0.6079607009887695},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.597181499004364},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5966874361038208},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4819898009300232},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4613722562789917},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4454428553581238},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.41525357961654663},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.41129952669143677},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32279881834983826}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7609251737594604},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7375336289405823},{"id":"https://openalex.org/C19235068","wikidata":"https://www.wikidata.org/wiki/Q9610","display_name":"Bengali","level":2,"score":0.6879938840866089},{"id":"https://openalex.org/C138602881","wikidata":"https://www.wikidata.org/wiki/Q2709591","display_name":"Confusion matrix","level":2,"score":0.6079607009887695},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.597181499004364},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5966874361038208},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4819898009300232},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4613722562789917},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4454428553581238},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.41525357961654663},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.41129952669143677},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32279881834983826},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt51525.2021.9579927","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt51525.2021.9579927","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W155912292","https://openalex.org/W1751753901","https://openalex.org/W1971957654","https://openalex.org/W2043500582","https://openalex.org/W2051140133","https://openalex.org/W2129556265","https://openalex.org/W2135880122","https://openalex.org/W2152914237","https://openalex.org/W2158617780","https://openalex.org/W2165428648","https://openalex.org/W2175837298","https://openalex.org/W2559854880","https://openalex.org/W2595863387","https://openalex.org/W2788481061","https://openalex.org/W2899498114","https://openalex.org/W2910711665","https://openalex.org/W2964254585","https://openalex.org/W2966639971","https://openalex.org/W3016504601","https://openalex.org/W3016986506","https://openalex.org/W3030195580","https://openalex.org/W3035146038","https://openalex.org/W3041181110","https://openalex.org/W3094773289","https://openalex.org/W3096019139","https://openalex.org/W3101559459","https://openalex.org/W3104617516","https://openalex.org/W3127569560","https://openalex.org/W4252095012","https://openalex.org/W4300529352","https://openalex.org/W6606433522","https://openalex.org/W6680153538","https://openalex.org/W6748382702","https://openalex.org/W6755926653","https://openalex.org/W6766723030","https://openalex.org/W6778540267","https://openalex.org/W6785428235","https://openalex.org/W6789998911","https://openalex.org/W6811387558","https://openalex.org/W6844495225"],"related_works":["https://openalex.org/W2084490135","https://openalex.org/W2895890526","https://openalex.org/W4298170800","https://openalex.org/W2794758919","https://openalex.org/W617692174","https://openalex.org/W4232781930","https://openalex.org/W1913642778","https://openalex.org/W4300860228","https://openalex.org/W2630858571","https://openalex.org/W2551890981"],"abstract_inverted_index":{"For":[0],"finding":[1],"patterns":[2],"in":[3,67,77,101],"data,":[4],"machine":[5],"learning":[6],"models":[7,34],"are":[8,115,128],"being":[9],"trained.":[10],"Gender":[11],"relations":[12],"psychology":[13],"looks":[14],"for":[15,118],"social":[16,22],"norms":[17],"like":[18],"inter":[19],"dimensionality,":[20],"beliefs,":[21],"experience":[23],"and":[24,26,58,135,167],"self-perception,":[25],"self-respect.":[27],"Training":[28],"on":[29,64],"gender":[30,46,61,86],"based":[31,63],"text":[32],"NLP":[33,72],"unknowingly":[35],"become":[36],"acquainted":[37],"with":[38,110,121,186],"unusual":[39],"patterns.":[40],"In":[41,81],"this":[42,68,102],"paper,":[43],"we":[44],"represent":[45],"recognition":[47],"by":[48,130],"using":[49],"Bengali":[50],"conventional":[51],"full":[52],"names.":[53],"We":[54,104],"present":[55],"a":[56,89,96,188],"review":[57],"interpretation":[59],"of":[60,84,98,146,152,182],"classification":[62,87,92],"individual":[65],"names":[66],"correspondence.":[69],"These":[70],"days,":[71],"has":[73,177],"demonstrated":[74],"excellent":[75],"execution":[76],"identifying":[78],"human":[79],"gender.":[80],"the":[82,108,144,150,153,157,178,184],"field":[83],"knowledge,":[85],"is":[88,168],"demonstrative":[90],"binary":[91],"phenomenon.":[93],"We've":[94],"used":[95,117],"total":[97],"seven":[99],"algorithms":[100],"research.":[103],"were":[105],"added":[106],"to":[107],"dataset":[109],"details":[111],"regarding":[112],"which":[113],"features":[114,127],"currently":[116],"prediction":[119],"along":[120],"that":[122],"it":[123],"determines":[124],"how":[125],"these":[126],"affected":[129],"data":[131],"preprocessing":[132,155],"model":[133,176],"initialization":[134],"architecture":[136],"selection.":[137],"Our":[138],"research":[139],"compares":[140],"those":[141],"classifiers,":[142],"examines":[143],"impact":[145],"pretraining":[147],"moreover,":[148],"assesses":[149],"robustness":[151],"alignment":[154],"through":[156],"confusion":[158],"matrix..":[159],"The":[160],"proposed":[161],"Neural":[162],"Network":[163],"outperforms":[164],"most":[165],"approaches":[166],"much":[169],"more":[170],"reliable":[171],"than":[172],"other":[173],"models.":[174],"This":[175],"best":[179],"weighted":[180],"precision":[181],"all":[183],"models,":[185],"such":[187],"73.04":[189],"%":[190],"accuracy":[191],"score.":[192]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
