{"id":"https://openalex.org/W3208330212","doi":"https://doi.org/10.1109/icccnt51525.2021.9580017","title":"Sentiment Analysis of Bengali Text using CountVectorizer with Logistic Regression","display_name":"Sentiment Analysis of Bengali Text using CountVectorizer with Logistic Regression","publication_year":2021,"publication_date":"2021-07-06","ids":{"openalex":"https://openalex.org/W3208330212","doi":"https://doi.org/10.1109/icccnt51525.2021.9580017","mag":"3208330212"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt51525.2021.9580017","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt51525.2021.9580017","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/A5063661979","display_name":"Nasif Alvi","orcid":null},"institutions":[{"id":"https://openalex.org/I124386471","display_name":"Khulna University","ror":"https://ror.org/05pny7s12","country_code":"BD","type":"education","lineage":["https://openalex.org/I124386471"]}],"countries":["BD"],"is_corresponding":true,"raw_author_name":"Nasif Alvi","raw_affiliation_strings":["Computer Science and Engineering Discipline, Khulna University, Khulna, Bangladesh"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering Discipline, Khulna University, Khulna, Bangladesh","institution_ids":["https://openalex.org/I124386471"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001420175","display_name":"Kamrul Hasan Talukder","orcid":"https://orcid.org/0000-0001-5811-4201"},"institutions":[{"id":"https://openalex.org/I124386471","display_name":"Khulna University","ror":"https://ror.org/05pny7s12","country_code":"BD","type":"education","lineage":["https://openalex.org/I124386471"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Kamrul Hasan Talukder","raw_affiliation_strings":["Computer Science and Engineering Discipline, Khulna University, Khulna, Bangladesh"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering Discipline, Khulna University, Khulna, Bangladesh","institution_ids":["https://openalex.org/I124386471"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5063661979"],"corresponding_institution_ids":["https://openalex.org/I124386471"],"apc_list":null,"apc_paid":null,"fwci":1.2237,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.83576611,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"01","last_page":"05"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9998999834060669,"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":0.9998999834060669,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9968000054359436,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/word2vec","display_name":"Word2vec","score":0.9165252447128296},{"id":"https://openalex.org/keywords/bengali","display_name":"Bengali","score":0.8881566524505615},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.7922186851501465},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7810927629470825},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6925188899040222},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5620330572128296},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5393919348716736},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.5048878788948059},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.49086910486221313},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4824967384338379},{"id":"https://openalex.org/keywords/bag-of-words-model","display_name":"Bag-of-words model","score":0.46404072642326355},{"id":"https://openalex.org/keywords/polarity","display_name":"Polarity (international relations)","score":0.42834314703941345},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3323034346103668},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08837559819221497}],"concepts":[{"id":"https://openalex.org/C2776461190","wikidata":"https://www.wikidata.org/wiki/Q22673982","display_name":"Word2vec","level":3,"score":0.9165252447128296},{"id":"https://openalex.org/C19235068","wikidata":"https://www.wikidata.org/wiki/Q9610","display_name":"Bengali","level":2,"score":0.8881566524505615},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.7922186851501465},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7810927629470825},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6925188899040222},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5620330572128296},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5393919348716736},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.5048878788948059},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.49086910486221313},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4824967384338379},{"id":"https://openalex.org/C13672336","wikidata":"https://www.wikidata.org/wiki/Q3460803","display_name":"Bag-of-words model","level":2,"score":0.46404072642326355},{"id":"https://openalex.org/C2777361361","wikidata":"https://www.wikidata.org/wiki/Q1112585","display_name":"Polarity (international relations)","level":3,"score":0.42834314703941345},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3323034346103668},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08837559819221497},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C1491633281","wikidata":"https://www.wikidata.org/wiki/Q7868","display_name":"Cell","level":2,"score":0.0},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"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/icccnt51525.2021.9580017","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt51525.2021.9580017","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":0.6899999976158142,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320325390","display_name":"Ministry of Science and Technology, Government of the People\u2019s Republic of Bangladesh","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1995290750","https://openalex.org/W2787489026","https://openalex.org/W2894394459","https://openalex.org/W2902888752","https://openalex.org/W2903101678","https://openalex.org/W2940172394"],"related_works":["https://openalex.org/W2509219942","https://openalex.org/W2611554154","https://openalex.org/W2912231714","https://openalex.org/W3175524270","https://openalex.org/W3200784702","https://openalex.org/W3092569358","https://openalex.org/W4226211987","https://openalex.org/W4251594503","https://openalex.org/W4297609205","https://openalex.org/W3070760781"],"abstract_inverted_index":{"Sentiment":[0,10],"analysis":[1,11],"refers":[2],"to":[3,52,63,85,91,135],"find":[4,53],"the":[5,54,57,97,118,148,156,163,172],"polarity":[6],"of":[7,89,117,131],"a":[8,29,48,61,68,73,79,87,92,102,129],"text.":[9,34,58],"or":[12,76],"opinion":[13],"mining":[14],"on":[15,32],"social":[16],"media":[17],"data":[18],"is":[19,47,60,82],"an":[20],"emerging":[21],"topic":[22],"in":[23],"research.":[24],"In":[25,35,123],"Bangladesh,":[26],"there":[27],"remains":[28,101],"few":[30,103],"researches":[31,104],"Bengali":[33,133],"Natural":[36],"Language":[37],"Processing,":[38],"text":[39,90,134],"document":[40,77],"can":[41],"be":[42],"represented":[43],"by":[44],"vector":[45,69,93],"which":[46],"very":[49],"efficient":[50],"way":[51],"similarities":[55],"among":[56],"Word2vec":[59,106,121],"technique":[62,84],"represent":[64,72],"each":[65],"word":[66],"as":[67,78],"and":[70,107,120,143,152],"Doc2vec":[71,119],"whole":[74],"sentence":[75],"vector.":[80],"CountVectorizer":[81,114,151],"another":[83],"transform":[86],"corpora":[88],"form":[94],"along":[95],"with":[96],"token":[98],"counts.":[99],"There":[100],"using":[105,150],"Doc2vec.":[108],"And":[109],"recent":[110],"studies":[111],"showed":[112],"that":[113],"outperforms":[115],"both":[116],"techniques.":[122],"this":[124],"study,":[125],"we":[126],"have":[127,146,154],"used":[128],"dataset":[130],"7,000":[132],"apply":[136],"sentiment":[137],"classification":[138,164],"into":[139],"two":[140],"classes:":[141],"positive":[142],"negative.":[144],"We":[145],"extracted":[147],"feature":[149],"then":[153],"applied":[155],"machine":[157],"learning":[158],"method:":[159],"Logistic":[160],"Regression":[161],"for":[162],"task.":[165],"The":[166],"result":[167],"shows":[168],"higher":[169],"accuracy":[170],"than":[171],"previous":[173],"works.":[174]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
