{"id":"https://openalex.org/W4352981365","doi":"https://doi.org/10.1109/iscmi56532.2022.10068474","title":"Na\u00efve Bayes with Negation Handling for Sentiment Analysis of Twitter Data","display_name":"Na\u00efve Bayes with Negation Handling for Sentiment Analysis of Twitter Data","publication_year":2022,"publication_date":"2022-11-26","ids":{"openalex":"https://openalex.org/W4352981365","doi":"https://doi.org/10.1109/iscmi56532.2022.10068474"},"language":"en","primary_location":{"id":"doi:10.1109/iscmi56532.2022.10068474","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscmi56532.2022.10068474","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 9th International Conference on Soft Computing & Machine Intelligence (ISCMI)","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/A5079952791","display_name":"Lobna H. Kamal","orcid":null},"institutions":[{"id":"https://openalex.org/I154023281","display_name":"British University in Egypt","ror":"https://ror.org/0066fxv63","country_code":"EG","type":"education","lineage":["https://openalex.org/I154023281"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Lobna H. Kamal","raw_affiliation_strings":["The British University in Egypt,Informatics and Computer Science,Cairo,Egypt","Informatics and Computer Science, The British University in Egypt, Cairo, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The British University in Egypt,Informatics and Computer Science,Cairo,Egypt","institution_ids":["https://openalex.org/I154023281"]},{"raw_affiliation_string":"Informatics and Computer Science, The British University in Egypt, Cairo, Egypt","institution_ids":["https://openalex.org/I154023281"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060072987","display_name":"Gerard T. McKee","orcid":"https://orcid.org/0000-0002-7538-7321"},"institutions":[{"id":"https://openalex.org/I154023281","display_name":"British University in Egypt","ror":"https://ror.org/0066fxv63","country_code":"EG","type":"education","lineage":["https://openalex.org/I154023281"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Gerard T. McKee","raw_affiliation_strings":["The British University in Egypt,Informatics and Computer Science,Cairo,Egypt","Informatics and Computer Science, The British University in Egypt, Cairo, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The British University in Egypt,Informatics and Computer Science,Cairo,Egypt","institution_ids":["https://openalex.org/I154023281"]},{"raw_affiliation_string":"Informatics and Computer Science, The British University in Egypt, Cairo, Egypt","institution_ids":["https://openalex.org/I154023281"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029879592","display_name":"Nermin Abdelhakim Othman","orcid":"https://orcid.org/0000-0002-5419-3739"},"institutions":[{"id":"https://openalex.org/I154023281","display_name":"British University in Egypt","ror":"https://ror.org/0066fxv63","country_code":"EG","type":"education","lineage":["https://openalex.org/I154023281"]},{"id":"https://openalex.org/I84058292","display_name":"Helwan University","ror":"https://ror.org/00h55v928","country_code":"EG","type":"education","lineage":["https://openalex.org/I84058292"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Nermin Abdelhakim Othman","raw_affiliation_strings":["Helwan University,Computers and Artificial Intelligence,Cairo,Egypt","Informatics and Computer Science, The British University in Egypt, Cairo, Egypt","Computers and Artificial Intelligence, Helwan University, Cairo, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Helwan University,Computers and Artificial Intelligence,Cairo,Egypt","institution_ids":["https://openalex.org/I84058292"]},{"raw_affiliation_string":"Informatics and Computer Science, The British University in Egypt, Cairo, Egypt","institution_ids":["https://openalex.org/I154023281"]},{"raw_affiliation_string":"Computers and Artificial Intelligence, Helwan University, Cairo, Egypt","institution_ids":["https://openalex.org/I84058292"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5549,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.73468392,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"207","last_page":"212"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9994000196456909,"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":0.9994000196456909,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9828000068664551,"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/T10028","display_name":"Topic Modeling","score":0.9807000160217285,"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/negation","display_name":"Negation","score":0.9540519118309021},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7001897692680359},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6362611055374146},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.6304914355278015},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.627483606338501},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.5927568674087524},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5674191117286682},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3963686525821686},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3853064477443695},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3343196511268616},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.16913017630577087},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.05899500846862793}],"concepts":[{"id":"https://openalex.org/C2185349","wikidata":"https://www.wikidata.org/wiki/Q190558","display_name":"Negation","level":2,"score":0.9540519118309021},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7001897692680359},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6362611055374146},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.6304914355278015},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.627483606338501},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.5927568674087524},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5674191117286682},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3963686525821686},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3853064477443695},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3343196511268616},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.16913017630577087},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.05899500846862793},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscmi56532.2022.10068474","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscmi56532.2022.10068474","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 9th International Conference on Soft Computing & Machine Intelligence (ISCMI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W193524605","https://openalex.org/W1971222444","https://openalex.org/W2106095291","https://openalex.org/W2128415447","https://openalex.org/W2464619766","https://openalex.org/W2523667352","https://openalex.org/W2592379743","https://openalex.org/W2596622777","https://openalex.org/W2612769033","https://openalex.org/W2904013400","https://openalex.org/W3036246613","https://openalex.org/W3099880460","https://openalex.org/W3105788483","https://openalex.org/W3149206686","https://openalex.org/W6607799657"],"related_works":["https://openalex.org/W3107474891","https://openalex.org/W4327531511","https://openalex.org/W3107602296","https://openalex.org/W4327831767","https://openalex.org/W4281608370","https://openalex.org/W4294837456","https://openalex.org/W4211165872","https://openalex.org/W3213901898","https://openalex.org/W2741836081","https://openalex.org/W4308404643"],"abstract_inverted_index":{"This":[0],"paper":[1,66],"proposes":[2],"an":[3,74,96,150],"enhanced":[4],"negation":[5,45,70,76,92,110],"handling":[6,24,71,77,93,111],"technique":[7,38,72,94,148,155,175],"for":[8,125],"sentiment":[9,34],"analysis":[10],"of":[11,43,98,103,117,128,163,172],"Twitter":[12],"data":[13],"using":[14],"the":[15,41,68,85,90,101,104,108,115,118,146,153,173],"Na\u00efve":[16,87,105,120,158],"Bayes":[17,88,106,121,159],"algorithm":[18],"and":[19,30,50,52,61,114,156,166,170],"Part-of-Speech":[20],"(POS)":[21],"tagging.":[22],"Negation":[23],"detects":[25],"negated":[26,54,143],"content":[27,55],"in":[28,84],"text":[29],"can":[31],"thus":[32],"improve":[33],"prediction.":[35],"The":[36,65,79,168],"proposed":[37,69,91,147,174],"focuses":[39],"on":[40],"detection":[42],"direct":[44],"words":[46],"such":[47,56],"as":[48,57],"\u201cnot\u201d":[49],"\u201cno\u201d,":[51],"implicitly":[53],"\u201ccould":[58],"have":[59,63],"been\u201d":[60],"\u201cshould":[62],"been\u201d.":[64],"compares":[67],"with":[73,89,107,160],"existing":[75,109,154],"technique.":[78],"Sentiment140":[80],"dataset":[81,127],"is":[82],"used":[83],"experiments.":[86],"gave":[95],"accuracy":[97,102,116],"77.57%":[99],"while":[100],"was":[112,122],"76.93%":[113],"standard":[119,157],"76.12":[123],"%":[124],"a":[126],"1,000,000":[129,133],"tweets.":[130],"Of":[131],"these":[132,142],"tweets":[134,144],"197,381":[135],"contained":[136],"one":[137],"or":[138],"more":[139],"negations.":[140],"Taking":[141],"alone,":[145],"showed":[149],"improvement":[151],"over":[152],"accuracies":[161],"respectively":[162],"76.51%,":[164],"75.98%,":[165],"75.09%.":[167],"improvements":[169],"shortcomings":[171],"are":[176],"discussed.":[177]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}