{"id":"https://openalex.org/W4393208024","doi":"https://doi.org/10.1109/wiecon-ece60392.2023.10456378","title":"Sentiment Analysis on Bangla and Phonetic Bangla Reviews: A Product Rating Procedure using NLP and Machine Learning","display_name":"Sentiment Analysis on Bangla and Phonetic Bangla Reviews: A Product Rating Procedure using NLP and Machine Learning","publication_year":2023,"publication_date":"2023-11-25","ids":{"openalex":"https://openalex.org/W4393208024","doi":"https://doi.org/10.1109/wiecon-ece60392.2023.10456378"},"language":"en","primary_location":{"id":"doi:10.1109/wiecon-ece60392.2023.10456378","doi":"https://doi.org/10.1109/wiecon-ece60392.2023.10456378","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wiecon-ece60392.2023.10456378","pdf_url":null,"source":{"id":"https://openalex.org/S4306498686","display_name":"IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE)","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":"2023 IEEE 9th International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE)","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":null,"display_name":"Mohammad Mukit","orcid":null,"observed_orcids":[]},"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":"Mohammad Mukit","raw_affiliation_strings":["Daffodil International University,Department of CSE,Dhaka,Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Daffodil International University,Department of CSE,Dhaka,Bangladesh","institution_ids":["https://openalex.org/I200606013"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5094254054","display_name":"Md Ruhul Rabbi","orcid":"https://orcid.org/0009-0001-7404-5469","observed_orcids":["https://orcid.org/0009-0001-7404-5469"]},"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 Moshiul Huq Rabbi","raw_affiliation_strings":["Daffodil International University,Department of CSE,Dhaka,Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Daffodil International University,Department of CSE,Dhaka,Bangladesh","institution_ids":["https://openalex.org/I200606013"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102635930","display_name":"Mohammad Masud Ahmed","orcid":null,"observed_orcids":[]},"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":"Mohammad Masud Ahmed","raw_affiliation_strings":["Daffodil International University,Department of CSE,Dhaka,Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Daffodil International University,Department of CSE,Dhaka,Bangladesh","institution_ids":["https://openalex.org/I200606013"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044657697","display_name":"Subhenur Latif","orcid":null,"observed_orcids":[]},"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":"Subhenur Latif","raw_affiliation_strings":["Daffodil International University,Department of CSE,Dhaka,Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Daffodil International University,Department of CSE,Dhaka,Bangladesh","institution_ids":["https://openalex.org/I200606013"]}]},{"author_position":"last","author":{"id":null,"display_name":"Sajib Saha","orcid":null,"observed_orcids":[]},"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":"Sajib Saha","raw_affiliation_strings":["Daffodil International University,Department of CSE,Dhaka,Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Daffodil International University,Department of CSE,Dhaka,Bangladesh","institution_ids":["https://openalex.org/I200606013"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I200606013"],"apc_list":null,"apc_paid":null,"fwci":0.5326,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.67617824,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"433","last_page":"437"},"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/T11644","display_name":"Spam and Phishing Detection","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"sentiment analysis","score":0.9860000014305115},{"id":"https://openalex.org/keywords/bengali-language","display_name":"Bengali language","score":0.878000020980835},{"id":"https://openalex.org/keywords/customer-reviews","display_name":"customer reviews","score":0.8309999704360962},{"id":"https://openalex.org/keywords/online-shopping","display_name":"online shopping","score":0.6110000014305115},{"id":"https://openalex.org/keywords/e-commerce-fraud-detection","display_name":"e-commerce fraud detection","score":0.7960000038146973},{"id":"https://openalex.org/keywords/product-ratings","display_name":"product ratings","score":0.8190000057220459},{"id":"https://openalex.org/keywords/review-dataset","display_name":"review datasets","score":0.5009999871253967},{"id":"https://openalex.org/keywords/tf-idf-feature-extraction","display_name":"TF-IDF feature extraction","score":0.7310000061988831},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"support vector machine","score":0.8379999995231628}],"concepts":[{"id":"https://openalex.org/C19235068","wikidata":"https://www.wikidata.org/wiki/Q9610","display_name":"Bengali","level":2,"score":0.9820669889450073},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7746696472167969},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7550815343856812},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.738360583782196},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.6580165028572083},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4957236051559448},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.47436174750328064},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07027429342269897},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wiecon-ece60392.2023.10456378","doi":"https://doi.org/10.1109/wiecon-ece60392.2023.10456378","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wiecon-ece60392.2023.10456378","pdf_url":null,"source":{"id":"https://openalex.org/S4306498686","display_name":"IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE)","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":"2023 IEEE 9th International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2750515215","https://openalex.org/W2766335952","https://openalex.org/W2886509668","https://openalex.org/W3006617969","https://openalex.org/W3016323721","https://openalex.org/W3093801554","https://openalex.org/W3137015680","https://openalex.org/W3143237456","https://openalex.org/W3153113868","https://openalex.org/W3158650575","https://openalex.org/W4200158962","https://openalex.org/W4214840481","https://openalex.org/W4223903471","https://openalex.org/W4244120932","https://openalex.org/W4281390663"],"related_works":["https://openalex.org/W3153113868","https://openalex.org/W4206049727","https://openalex.org/W4413002003","https://openalex.org/W3009876159","https://openalex.org/W3181424764","https://openalex.org/W2994077062","https://openalex.org/W7117971050","https://openalex.org/W7160380709","https://openalex.org/W4323060074","https://openalex.org/W6903964425"],"abstract_inverted_index":{"Online":[0],"shopping":[1],"has":[2],"become":[3],"very":[4,60],"popular":[5],"all":[6],"over":[7],"the":[8,39,49,87,103,131,144,162,170,206,219,236,241],"world,":[9],"although":[10],"in":[11,58,79,185,239],"Bangladesh":[12,22,66,106],"it":[13],"is":[14,33,138],"at":[15],"its":[16],"early":[17],"stages":[18],"but":[19],"people":[20,104],"of":[21,70,75,105,112],"are":[23,48,72,99,110,161,166],"becoming":[24,34],"familiar":[25],"with":[26,102,169,247],"this.":[27],"Day":[28],"by":[29,143],"day":[30],"online":[31,76,89,97,152,194],"market":[32],"more":[35],"challenging":[36,61],"due":[37],"to":[38,85,139],"open":[40],"platform,":[41],"where":[42,154],"product":[43,149],"quality":[44],"and":[45,62,187,200,211,221,243,249],"customer":[46,120,145],"satisfaction":[47],"most":[50],"important":[51],"factors":[52],"for":[53,91,129,135],"building":[54],"a":[55,119,126],"reliable":[56,88],"stand":[57],"this":[59,115,136],"competitive":[63],"market.":[64],"In":[65,93,114],"an":[67,151],"extensive":[68],"number":[69],"populations":[71],"not":[73],"aware":[74],"shopping,":[77],"so":[78],"many":[80,96],"cases":[81],"they":[82],"aren't":[83],"able":[84],"identify":[86],"platform":[90],"shopping.":[92],"recent":[94],"times":[95],"companies":[98,163],"making":[100,167],"frauds":[101,168],"\u201cEvaly\u201c":[107],"\u201dAlesha":[108],"Mart\u201c":[109],"two":[111],"them.":[113],"research":[116,137],"we":[117,155,173,215],"employed":[118],"review":[121],"system,":[122],"which":[123],"will":[124],"be":[125],"probable":[127],"solution":[128],"overthrowing":[130],"problem.":[132],"Our":[133],"aim":[134],"monitor":[140],"reviews":[141,183],"given":[142],"after":[146],"buying":[147],"some":[148],"from":[150,190,218],"market,":[153],"can":[156],"easily":[157],"find":[158],"out":[159],"what":[160],"or":[164],"shops":[165],"people.":[171],"So,":[172],"created":[174],"our":[175,223],"own":[176],"\u201cPR\u201d":[177],"(Product":[178],"Review)":[179],"dataset":[180],"containing":[181],"4,000":[182],"both":[184,240],"Bangla":[186,189,242,245],"Phonetic":[188,244],"various":[191],"e-commerce":[192],"websites,":[193],"store":[195],"pages,":[196],"social":[197],"media":[198],"platforms,":[199],"YouTube":[201],"videos.":[202],"We":[203],"manually":[204],"labeled":[205],"collected":[207],"data":[208,220],"into":[209],"\u201cpositive\u201d":[210],"\u201cnegative\u201d.":[212],"Using":[213],"TF-IDF":[214],"extract":[216],"features":[217],"train":[222],"model":[224],"using":[225],"supervised":[226],"machine":[227],"learning":[228],"algorithms.":[229],"The":[230],"results":[231],"showed":[232],"that":[233],"SVM":[234],"had":[235],"highest":[237],"accuracy":[238],"datasets,":[246],"82%":[248],"94%":[250],"respectively.":[251]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-10-05T09:50:58.205359","created_date":"2024-03-27T00:00:00"}
