{"id":"https://openalex.org/W2991861141","doi":"https://doi.org/10.1109/icawst.2019.8923218","title":"Imbalanced Twitter Sentiment Analysis using Minority Oversampling","display_name":"Imbalanced Twitter Sentiment Analysis using Minority Oversampling","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2991861141","doi":"https://doi.org/10.1109/icawst.2019.8923218","mag":"2991861141"},"language":"en","primary_location":{"id":"doi:10.1109/icawst.2019.8923218","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icawst.2019.8923218","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST)","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/A5066873115","display_name":"Kushankur Ghosh","orcid":"https://orcid.org/0000-0002-4761-120X"},"institutions":[{"id":"https://openalex.org/I1296725772","display_name":"University of Engineering & Management","ror":"https://ror.org/02decng19","country_code":"IN","type":"education","lineage":["https://openalex.org/I1296725772"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Kushankur Ghosh","raw_affiliation_strings":["Department of Computer Science & Engineering, University of Engineering and Management, Kolkata, Kolkata, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, University of Engineering and Management, Kolkata, Kolkata, India","institution_ids":["https://openalex.org/I1296725772"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000968606","display_name":"Arghasree Banerjee","orcid":"https://orcid.org/0000-0002-3982-4520"},"institutions":[{"id":"https://openalex.org/I1296725772","display_name":"University of Engineering & Management","ror":"https://ror.org/02decng19","country_code":"IN","type":"education","lineage":["https://openalex.org/I1296725772"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Arghasree Banerjee","raw_affiliation_strings":["Department of Computer Science & Engineering, University of Engineering and Management, Kolkata, Kolkata, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, University of Engineering and Management, Kolkata, Kolkata, India","institution_ids":["https://openalex.org/I1296725772"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029309294","display_name":"Sankhadeep Chatterjee","orcid":"https://orcid.org/0000-0002-3930-4699"},"institutions":[{"id":"https://openalex.org/I106542073","display_name":"University of Calcutta","ror":"https://ror.org/01e7v7w47","country_code":"IN","type":"education","lineage":["https://openalex.org/I106542073"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sankhadeep Chatterjee","raw_affiliation_strings":["A.K.Choudhury School of Information Technology, University of Calcutta, Kolkata, India"],"affiliations":[{"raw_affiliation_string":"A.K.Choudhury School of Information Technology, University of Calcutta, Kolkata, India","institution_ids":["https://openalex.org/I106542073"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080702284","display_name":"Soumya Sen","orcid":"https://orcid.org/0000-0002-9178-6410"},"institutions":[{"id":"https://openalex.org/I106542073","display_name":"University of Calcutta","ror":"https://ror.org/01e7v7w47","country_code":"IN","type":"education","lineage":["https://openalex.org/I106542073"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Soumya Sen","raw_affiliation_strings":["A.K.Choudhury School of Information Technology, University of Calcutta, Kolkata, India"],"affiliations":[{"raw_affiliation_string":"A.K.Choudhury School of Information Technology, University of Calcutta, Kolkata, India","institution_ids":["https://openalex.org/I106542073"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5066873115"],"corresponding_institution_ids":["https://openalex.org/I1296725772"],"apc_list":null,"apc_paid":null,"fwci":2.9421,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.93186071,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9995999932289124,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9995999932289124,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9977999925613403,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","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"}}],"keywords":[{"id":"https://openalex.org/keywords/oversampling","display_name":"Oversampling","score":0.9461764097213745},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.9226707220077515},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7198190689086914},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.666823148727417},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.66603022813797},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6526390910148621},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.647557258605957},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.6276938319206238},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.4862746000289917},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.18986910581588745}],"concepts":[{"id":"https://openalex.org/C197323446","wikidata":"https://www.wikidata.org/wiki/Q331222","display_name":"Oversampling","level":3,"score":0.9461764097213745},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.9226707220077515},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7198190689086914},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.666823148727417},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.66603022813797},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6526390910148621},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.647557258605957},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.6276938319206238},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.4862746000289917},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.18986910581588745},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icawst.2019.8923218","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icawst.2019.8923218","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST)","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":29,"referenced_works":["https://openalex.org/W85350352","https://openalex.org/W142793689","https://openalex.org/W571200655","https://openalex.org/W1496056137","https://openalex.org/W1588282782","https://openalex.org/W1808640434","https://openalex.org/W1941659294","https://openalex.org/W2015525779","https://openalex.org/W2040181375","https://openalex.org/W2070808135","https://openalex.org/W2097726431","https://openalex.org/W2101196063","https://openalex.org/W2132791018","https://openalex.org/W2139285475","https://openalex.org/W2140336868","https://openalex.org/W2148143831","https://openalex.org/W2149684865","https://openalex.org/W2156909104","https://openalex.org/W2167464971","https://openalex.org/W2181852430","https://openalex.org/W2573312618","https://openalex.org/W2796018820","https://openalex.org/W2964236337","https://openalex.org/W4205184193","https://openalex.org/W6603460400","https://openalex.org/W6605806949","https://openalex.org/W6638330219","https://openalex.org/W6679745481","https://openalex.org/W7000164763"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2766503024","https://openalex.org/W2781247653","https://openalex.org/W4206637278","https://openalex.org/W4386005305","https://openalex.org/W3082051559","https://openalex.org/W1682621979","https://openalex.org/W4386214543","https://openalex.org/W1969988626","https://openalex.org/W3021501837"],"abstract_inverted_index":{"Micro-Blogging":[0],"platforms":[1],"have":[2,22,65,102,115],"become":[3],"one":[4],"of":[5,12,73],"the":[6,43,58,71,88,124],"popular":[7],"medium":[8],"which":[9],"reflects":[10],"opinion/sentiment":[11],"social":[13],"events":[14],"and":[15,98],"entities.":[16],"Machine":[17,97],"learning":[18,51],"based":[19,120],"sentiment":[20,78,112],"analyses":[21],"been":[23,66,103],"proven":[24],"to":[25,47,68,86,128],"be":[26,54],"successful":[27],"in":[28,77],"finding":[29],"people's":[30],"opinion":[31],"using":[32],"redundantly":[33],"available":[34],"data.":[35],"However,":[36],"current":[37,59],"study":[38,60,70],"has":[39],"pointed":[40],"out":[41],"that":[42,117],"data":[44],"being":[45],"used":[46,67,104],"train":[48],"such":[49],"machine":[50],"models":[52],"could":[53],"highly":[55],"imbalanced.":[56],"In":[57],"live":[61],"tweets":[62,107],"from":[63],"Twitter":[64],"systematically":[69],"effect":[72],"class":[74,90,126],"imbalance":[75],"problem":[76,127],"analysis.":[79],"Minority":[80],"oversampling":[81,119],"method":[82],"is":[83],"employed":[84],"here":[85],"manage":[87],"imbalanced":[89,125],"problem.":[91],"Two":[92],"well-known":[93],"classifiers":[94],"Support":[95],"Vector":[96],"Multinomial":[99],"Na\u00efve":[100],"Bayes":[101],"for":[105],"classifying":[106],"into":[108],"positive":[109],"or":[110],"negative":[111],"classes.":[113],"Results":[114],"revealed":[116],"minority":[118],"methods":[121],"can":[122],"overcome":[123],"a":[129],"greater":[130],"extent.":[131]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":2}],"updated_date":"2026-02-26T06:29:33.603293","created_date":"2025-10-10T00:00:00"}
