{"id":"https://openalex.org/W4360585365","doi":"https://doi.org/10.1109/ic3i56241.2022.10073045","title":"An Improved Accuracy in Anticipating the User Nature using a novel logistic regression algorithm throughout the pandemic across online social media based on Indian metrics over Support Vector Clustering Algorithm","display_name":"An Improved Accuracy in Anticipating the User Nature using a novel logistic regression algorithm throughout the pandemic across online social media based on Indian metrics over Support Vector Clustering Algorithm","publication_year":2022,"publication_date":"2022-12-14","ids":{"openalex":"https://openalex.org/W4360585365","doi":"https://doi.org/10.1109/ic3i56241.2022.10073045"},"language":"en","primary_location":{"id":"doi:10.1109/ic3i56241.2022.10073045","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ic3i56241.2022.10073045","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 5th International Conference on Contemporary Computing and Informatics (IC3I)","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/A5016475591","display_name":"V. Sai Ram Kumar","orcid":null},"institutions":[{"id":"https://openalex.org/I85461943","display_name":"Saveetha University","ror":"https://ror.org/0034me914","country_code":"IN","type":"education","lineage":["https://openalex.org/I85461943"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"V. Sai Ram Kumar","raw_affiliation_strings":["Saveetha Institute of Medical and Technical Sciences Saveetha University,Saveetha School of Engineering,Department of Computer Science and Engineering,Chennai,Tamil Nadu,India","Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences Saveetha University, Chennai, Tamil Nadu, India"],"affiliations":[{"raw_affiliation_string":"Saveetha Institute of Medical and Technical Sciences Saveetha University,Saveetha School of Engineering,Department of Computer Science and Engineering,Chennai,Tamil Nadu,India","institution_ids":["https://openalex.org/I85461943"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences Saveetha University, Chennai, Tamil Nadu, India","institution_ids":["https://openalex.org/I85461943"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035977838","display_name":"A. Shri Vindhya","orcid":"https://orcid.org/0000-0002-0603-6608"},"institutions":[{"id":"https://openalex.org/I85461943","display_name":"Saveetha University","ror":"https://ror.org/0034me914","country_code":"IN","type":"education","lineage":["https://openalex.org/I85461943"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"A.Shri Vindhya","raw_affiliation_strings":["Saveetha Institute of Medical and Technical Sciences Saveetha University,Saveetha School of Engineering,Department of Computer Science and Engineering,Chennai,Tamil Nadu,India","Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences Saveetha University, Chennai, Tamil Nadu, India"],"affiliations":[{"raw_affiliation_string":"Saveetha Institute of Medical and Technical Sciences Saveetha University,Saveetha School of Engineering,Department of Computer Science and Engineering,Chennai,Tamil Nadu,India","institution_ids":["https://openalex.org/I85461943"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences Saveetha University, Chennai, Tamil Nadu, India","institution_ids":["https://openalex.org/I85461943"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5016475591"],"corresponding_institution_ids":["https://openalex.org/I85461943"],"apc_list":null,"apc_paid":null,"fwci":0.144,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.51382484,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"850","last_page":"854"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T13693","display_name":"Smart Systems and Machine Learning","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10410","display_name":"COVID-19 epidemiological studies","score":0.9902999997138977,"subfield":{"id":"https://openalex.org/subfields/2611","display_name":"Modeling and Simulation"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7859641909599304},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7330276370048523},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5650840401649475},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.5609423518180847},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.541311502456665},{"id":"https://openalex.org/keywords/hyperplane","display_name":"Hyperplane","score":0.4673716425895691},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4171541631221771},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3879837989807129},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31714823842048645},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.31584250926971436}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7859641909599304},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7330276370048523},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5650840401649475},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.5609423518180847},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.541311502456665},{"id":"https://openalex.org/C68693459","wikidata":"https://www.wikidata.org/wiki/Q657586","display_name":"Hyperplane","level":2,"score":0.4673716425895691},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4171541631221771},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3879837989807129},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31714823842048645},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.31584250926971436},{"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/ic3i56241.2022.10073045","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ic3i56241.2022.10073045","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 5th International Conference on Contemporary Computing and Informatics (IC3I)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.7900000214576721}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W2296587850","https://openalex.org/W2531867140","https://openalex.org/W2594461012","https://openalex.org/W2782863597","https://openalex.org/W2895915239","https://openalex.org/W2903744605","https://openalex.org/W2916760211","https://openalex.org/W2941780884","https://openalex.org/W2963937838","https://openalex.org/W2972699946","https://openalex.org/W2981601776","https://openalex.org/W2982335240","https://openalex.org/W3000164981","https://openalex.org/W3011186656","https://openalex.org/W3016089928","https://openalex.org/W3017855299","https://openalex.org/W3019449959","https://openalex.org/W3020349211","https://openalex.org/W3023402713","https://openalex.org/W3028652260","https://openalex.org/W3029781783","https://openalex.org/W3033356006","https://openalex.org/W3044240928","https://openalex.org/W3045460727","https://openalex.org/W3045669112","https://openalex.org/W3080590497","https://openalex.org/W3095101245","https://openalex.org/W3112770422","https://openalex.org/W3121110793","https://openalex.org/W3125109287","https://openalex.org/W3137665520","https://openalex.org/W3176794375","https://openalex.org/W3187787078","https://openalex.org/W3199582668","https://openalex.org/W3209227626","https://openalex.org/W4206950856","https://openalex.org/W4210264858","https://openalex.org/W4210692328","https://openalex.org/W4210747300","https://openalex.org/W4210754651","https://openalex.org/W4211036025","https://openalex.org/W4213179420","https://openalex.org/W4255990624","https://openalex.org/W6784922381"],"related_works":["https://openalex.org/W2369655046","https://openalex.org/W2019467317","https://openalex.org/W2161440356","https://openalex.org/W2383335574","https://openalex.org/W1489507320","https://openalex.org/W1889103747","https://openalex.org/W2348510359","https://openalex.org/W3121830895","https://openalex.org/W2900686919","https://openalex.org/W2047800684"],"abstract_inverted_index":{"This":[0],"study's":[1],"primary":[2],"goal":[3],"is":[4,88],"to":[5,11,22,83,120,131],"apply":[6],"machine":[7],"learning":[8],"classifier":[9],"techniques":[10],"raise":[12],"the":[13,24,62,70,105,132,149],"intensity":[14],"percentage":[15,46],"of":[16,26,51,138,140],"user":[17],"nature":[18],"detection":[19],"in":[20],"order":[21],"detect":[23],"impact":[25],"coronavirus":[27],"on":[28],"Twitter":[29],"users":[30],"by":[31],"comparing":[32],"Novel":[33],"Logistic":[34],"Regression":[35],"and":[36,42,53,69,110],"Support":[37,94,121,150],"Vector":[38,95,122,151],"Clustering":[39,96,123],"algorithms.":[40],"Materials":[41],"Methods:":[43],"The":[44,77],"accuracy":[45],"with":[47,65,73,135],"a":[48,91,99,136],"confidence":[49],"interval":[50],"95%":[52],"G-power":[54],"(value":[55],"=0.8)":[56],"was":[57],"determined":[58],"many":[59],"times":[60],"using":[61,90],"LR":[63,92,112,144],"method":[64],"test":[66,74],"size":[67,75],"=10":[68],"SVC":[71],"algorithm":[72,97],"=10.":[76],"likelihood":[78],"that":[79,103],"an":[80],"item":[81],"belongs":[82],"one":[84],"category":[85],"or":[86,101],"another":[87],"predicted":[89],"model.":[93],"generates":[98],"line":[100],"hyperplane":[102],"divides":[104],"data":[106,133],"into":[107],"categories.":[108],"Results":[109],"Discussion:":[111],"model":[113],"has":[114],"greater":[115],"efficiency":[116],"(91%)":[117],"when":[118],"compared":[119],"(59%).":[124],"Two":[125],"groups":[126],"are":[127],"numerically":[128],"unimportant,":[129],"according":[130],"obtained":[134],"coefficient":[137],"determination":[139],"p=0.121":[141],"($p\\gt0.05$).":[142],"Conclusion:":[143],"performs":[145],"substantially":[146],"better":[147],"than":[148],"Clustering.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}