{"id":"https://openalex.org/W4389829907","doi":"https://doi.org/10.55041/ijsrem27465","title":"MultiClass Text Classification Using Support Vector Machine","display_name":"MultiClass Text Classification Using Support Vector Machine","publication_year":2023,"publication_date":"2023-12-01","ids":{"openalex":"https://openalex.org/W4389829907","doi":"https://doi.org/10.55041/ijsrem27465"},"language":"en","primary_location":{"id":"doi:10.55041/ijsrem27465","doi":"https://doi.org/10.55041/ijsrem27465","is_oa":true,"landing_page_url":"https://doi.org/10.55041/ijsrem27465","pdf_url":"https://ijsrem.com/download/multiclass-text-classification-using-support-vector-machine/?wpdmdl=25953&refresh=657e4404d025c1702773764","source":{"id":"https://openalex.org/S4210240841","display_name":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","issn_l":"2582-3930","issn":["2582-3930"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://ijsrem.com/download/multiclass-text-classification-using-support-vector-machine/?wpdmdl=25953&refresh=657e4404d025c1702773764","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"K.Manoj Sagar","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405254961","display_name":"Malla Reddy University","ror":"https://ror.org/02eg1qz05","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405254961"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"K.Manoj Sagar","raw_affiliation_strings":["School of Engineering Malla Reddy University , Telangana ","School of Engineering Malla Reddy University,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering Malla Reddy University , Telangana ","institution_ids":["https://openalex.org/I4405254961"]},{"raw_affiliation_string":"School of Engineering Malla Reddy University,","institution_ids":["https://openalex.org/I4405254961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4405254961"],"apc_list":null,"apc_paid":null,"fwci":0.2104,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.45152371,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"07","issue":"12","first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9907000064849854,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9907000064849854,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.004000000189989805,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.0020000000949949026,"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/multi-class-text-classification","display_name":"multi-class text classification","score":0.9490000009536743},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"support vector machine","score":0.7699999809265137},{"id":"https://openalex.org/keywords/class-incremental-learning","display_name":"class-incremental learning","score":0.8970000147819519},{"id":"https://openalex.org/keywords/incremental-learning","display_name":"incremental learning","score":0.9480000138282776},{"id":"https://openalex.org/keywords/feature-selection","display_name":"feature selection","score":0.5899999737739563},{"id":"https://openalex.org/keywords/gaussian-kernel","display_name":"Gaussian kernel","score":0.8420000076293945},{"id":"https://openalex.org/keywords/evolving-data-distributions","display_name":"evolving data distributions","score":0.7720000147819519}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8674409985542297},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7760359048843384},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7551158666610718},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7187904715538025},{"id":"https://openalex.org/C125168437","wikidata":"https://www.wikidata.org/wiki/Q7625184","display_name":"Structured support vector machine","level":3,"score":0.6273980140686035},{"id":"https://openalex.org/C123860398","wikidata":"https://www.wikidata.org/wiki/Q6934605","display_name":"Multiclass classification","level":3,"score":0.5809632539749146},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5360610485076904},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.4987754821777344},{"id":"https://openalex.org/C88548561","wikidata":"https://www.wikidata.org/wiki/Q347599","display_name":"sort","level":2,"score":0.48067009449005127},{"id":"https://openalex.org/C60777511","wikidata":"https://www.wikidata.org/wiki/Q3045002","display_name":"Concept drift","level":3,"score":0.4759797155857086},{"id":"https://openalex.org/C139532973","wikidata":"https://www.wikidata.org/wiki/Q2679259","display_name":"Linear classifier","level":3,"score":0.4759273827075958},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4716982841491699},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4555770456790924},{"id":"https://openalex.org/C14948415","wikidata":"https://www.wikidata.org/wiki/Q7310972","display_name":"Relevance vector machine","level":3,"score":0.43858206272125244},{"id":"https://openalex.org/C34872919","wikidata":"https://www.wikidata.org/wiki/Q7092302","display_name":"One-class classification","level":3,"score":0.4120698571205139},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36495858430862427},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.1646454930305481},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.11885908246040344}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.55041/ijsrem27465","doi":"https://doi.org/10.55041/ijsrem27465","is_oa":true,"landing_page_url":"https://doi.org/10.55041/ijsrem27465","pdf_url":"https://ijsrem.com/download/multiclass-text-classification-using-support-vector-machine/?wpdmdl=25953&refresh=657e4404d025c1702773764","source":{"id":"https://openalex.org/S4210240841","display_name":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","issn_l":"2582-3930","issn":["2582-3930"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.55041/ijsrem27465","doi":"https://doi.org/10.55041/ijsrem27465","is_oa":true,"landing_page_url":"https://doi.org/10.55041/ijsrem27465","pdf_url":"https://ijsrem.com/download/multiclass-text-classification-using-support-vector-machine/?wpdmdl=25953&refresh=657e4404d025c1702773764","source":{"id":"https://openalex.org/S4210240841","display_name":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","issn_l":"2582-3930","issn":["2582-3930"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4389829907.pdf","grobid_xml":"https://content.openalex.org/works/W4389829907.grobid-xml"},"referenced_works_count":3,"referenced_works":["https://openalex.org/W1604792744","https://openalex.org/W2169423212","https://openalex.org/W3099847344"],"related_works":["https://openalex.org/W4384078519","https://openalex.org/W2168931314","https://openalex.org/W4323342152","https://openalex.org/W3011812328","https://openalex.org/W2382409031","https://openalex.org/W2392013580","https://openalex.org/W2026228882","https://openalex.org/W2149792835","https://openalex.org/W2379882851","https://openalex.org/W1531023079"],"abstract_inverted_index":{"Support":[0,87],"vector":[1,16,192],"machine":[2],"(SVM)":[3,18],"was":[4],"initially":[5],"designed":[6],"for":[7,85],"binary":[8,42],"classification":[9,148],".To":[10],"solve":[11],"multi-class":[12,86,118],"problems":[13],"of":[14,35,48,78,142,158],"support":[15,191],"machines":[17],"more":[19],"efficiently,":[20],"a":[21,52,92,136,164],"novel":[22],"framework,":[23],"which":[24],"we":[25],"call":[26],"class-incremental":[27],"learning":[28,127],"(CIL)":[29],"CIL":[30],"reuses":[31],"the":[32,36,98,140,169,178],"old":[33],"models":[34],"classifier":[37],"and":[38,125,152,184],"learns":[39],"only":[40],"one":[41],"sub-classifier":[43],"with":[44,68,100],"an":[45],"additional":[46],"phase":[47],"feature":[49,189],"selection":[50],"when":[51],"new":[53,69,101,129,144,153],"class":[54,195],"comes.":[55],"In":[56],"text":[57,62],"classification,":[58],"where":[59],"computers":[60],"sort":[61],"documents":[63],"into":[64],"categories,":[65],"keeping":[66],"up":[67],"information":[70],"can":[71],"be":[72],"tricky.":[73],"Traditional":[74],"methods":[75],"need":[76],"lots":[77],"retraining":[79],"to":[80,162,172],"adapt.":[81],"However,":[82],"Incremental":[83,115],"Learning":[84,116],"Vector":[88],"Machines":[89],"(SVMs)":[90],"offers":[91],"solution.":[93],"It":[94],"lets":[95],"us":[96],"update":[97],"model":[99],"data":[102,124,174],"while":[103,146,176],"remembering":[104],"what":[105],"it":[106],"learned":[107,182],"before":[108],".In":[109],"this":[110,159],"project,":[111],"we'll":[112],"explore":[113],"how":[114],"makes":[117],"SVMs":[119],"better":[120],"at":[121],"handling":[122],"changing":[123],"even":[126],"about":[128],"categories":[130],"as":[131],"they":[132],"appear":[133],".There":[134],"is":[135,161],"problem":[137],"in":[138],"addressing":[139],"challenge":[141],"integrating":[143],"classes":[145,154,183],"maintaining":[147],"accuracy":[149],"on":[150,180],"existing":[151],".The":[155],"main":[156],"goal":[157],"project":[160],"create":[163],"method":[165],"that":[166],"effectively":[167],"adapts":[168],"MC-":[170],"SVM":[171],"evolving":[173],"distributions":[175],"minimizing":[177],"impact":[179],"previously":[181],"optimising":[185],"resource":[186],"utilization.":[187],"Keywords\u2014":[188],"extraction,":[190],"machine,":[193],"multi":[194],"incremental":[196],"learning,":[197],"Gaussian":[198],"kernel.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2023-12-17T00:00:00"}