{"id":"https://openalex.org/W2914640497","doi":"https://doi.org/10.1145/3302425.3302492","title":"Sentiment Analysis of Twitter Data Using Machine Learning Techniques and Scikit-learn","display_name":"Sentiment Analysis of Twitter Data Using Machine Learning Techniques and Scikit-learn","publication_year":2018,"publication_date":"2018-12-21","ids":{"openalex":"https://openalex.org/W2914640497","doi":"https://doi.org/10.1145/3302425.3302492","mag":"2914640497"},"language":"en","primary_location":{"id":"doi:10.1145/3302425.3302492","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3302425.3302492","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 International Conference on Algorithms, Computing and Artificial Intelligence","raw_type":"proceedings-article"},"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":"https://openalex.org/A5113861090","display_name":"Shihab Elbagir","orcid":null},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shihab Elbagir","raw_affiliation_strings":["College of Computer Science and Technology, Harbin Engineering University, Harbin China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Harbin Engineering University, Harbin China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100753238","display_name":"Jing Yang","orcid":"https://orcid.org/0000-0001-6646-3401"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Yang","raw_affiliation_strings":["College of Computer Science and Technology, Harbin Engineering University, Harbin China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Harbin Engineering University, Harbin China","institution_ids":["https://openalex.org/I151727225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I151727225"],"apc_list":null,"apc_paid":null,"fwci":0.903,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.81012023,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","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/T11612","display_name":"Stochastic Gradient Optimization Techniques","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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9972000122070312,"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/T10057","display_name":"Face and Expression Recognition","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/computer-science","display_name":"Computer science","score":0.8221815824508667},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7392518520355225},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.7180736064910889},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6981483697891235},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6253837943077087},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5183778405189514},{"id":"https://openalex.org/keywords/test-data","display_name":"Test data","score":0.44177624583244324}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8221815824508667},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7392518520355225},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.7180736064910889},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6981483697891235},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6253837943077087},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5183778405189514},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.44177624583244324},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3302425.3302492","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3302425.3302492","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 International Conference on Algorithms, Computing and Artificial Intelligence","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":12,"referenced_works":["https://openalex.org/W961659484","https://openalex.org/W1510526001","https://openalex.org/W2008101671","https://openalex.org/W2012942264","https://openalex.org/W2082481758","https://openalex.org/W2101234009","https://openalex.org/W2122369144","https://openalex.org/W2144211451","https://openalex.org/W2963156201","https://openalex.org/W2997591727","https://openalex.org/W4254373586","https://openalex.org/W6675354045"],"related_works":["https://openalex.org/W3089396779","https://openalex.org/W2548633793","https://openalex.org/W3013279174","https://openalex.org/W2941935829","https://openalex.org/W2596247554","https://openalex.org/W4301373556","https://openalex.org/W3132372214","https://openalex.org/W4224284088","https://openalex.org/W4286571989","https://openalex.org/W3101081936"],"abstract_inverted_index":{"Sentiment":[0],"analysis":[1,52],"of":[2,31,35,44,53],"Twitter":[3,54,63],"data":[4],"is":[5],"an":[6,73],"area":[7],"that":[8,104],"has":[9,27],"experienced":[10],"significant":[11],"growth":[12],"in":[13,50],"recent":[14],"years.":[15],"The":[16],"ability":[17],"to":[18],"identify":[19],"sentiment":[20,51],"from":[21],"tweets":[22],"using":[23,77],"machine":[24,36,45,87],"learning":[25,37,46,88],"techniques":[26],"attracted":[28],"researchers":[29],"because":[30],"the":[32,42],"simple":[33],"efficiency":[34],"techniques.":[38],"This":[39],"paper":[40],"tackles":[41],"use":[43],"algorithms":[47],"and":[48,71,84,99,107],"Scikit-learn":[49],"data.":[55],"To":[56],"do":[57],"this,":[58],"we":[59],"perform":[60],"analyses":[61],"on":[62],"datasets":[64],"made":[65],"publicly":[66],"available":[67],"by":[68,76],"NLTK":[69],"Corpora":[70],"create":[72],"efficient":[74],"feature":[75,79],"a":[78],"extraction":[80],"technique.":[81],"We":[82],"train":[83],"test":[85],"various":[86],"classifiers":[89],"such":[90],"as":[91,112,114],"MultinomialNB,":[92],"BernoulliNB,":[93,105],"LogisticRegression,":[94,106],"SGD":[95,108],"classifier,":[96],"SVC,":[97],"LinearSVC,":[98],"NuSVC.":[100],"Experimental":[101],"results":[102],"demonstrate":[103],"classifier":[109],"reached":[110],"accuracy":[111],"high":[113],"75%.":[115]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":2}],"updated_date":"2026-08-15T07:11:24.734988","created_date":"2025-10-10T00:00:00"}