{"id":"https://openalex.org/W4206769143","doi":"https://doi.org/10.1145/3484824.3484912","title":"Applying GA-SVM for Optimizing Statistical and Semantic Features in Document Classification","display_name":"Applying GA-SVM for Optimizing Statistical and Semantic Features in Document Classification","publication_year":2021,"publication_date":"2021-08-09","ids":{"openalex":"https://openalex.org/W4206769143","doi":"https://doi.org/10.1145/3484824.3484912"},"language":"en","primary_location":{"id":"doi:10.1145/3484824.3484912","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3484824.3484912","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Data Science, Machine Learning and Artificial Intelligence","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/A5112733453","display_name":"Upasana Pandey","orcid":null},"institutions":[{"id":"https://openalex.org/I166533956","display_name":"Institute of Management Technology","ror":"https://ror.org/05k0kb696","country_code":"IN","type":"education","lineage":["https://openalex.org/I166533956"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Upasana Pandey","raw_affiliation_strings":["Computer Sciences & Engineering, IMS Engineering College, Ghaziabad, India"],"affiliations":[{"raw_affiliation_string":"Computer Sciences & Engineering, IMS Engineering College, Ghaziabad, India","institution_ids":["https://openalex.org/I166533956"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057070686","display_name":"Geeta Rani","orcid":"https://orcid.org/0000-0002-4513-2109"},"institutions":[{"id":"https://openalex.org/I73779912","display_name":"Manipal University Jaipur","ror":"https://ror.org/040h76494","country_code":null,"type":"education","lineage":["https://openalex.org/I73779912"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Geeta Rani","raw_affiliation_strings":["Computer and Communication Engineering, Manipal University Jaipur, Jaipur, India"],"affiliations":[{"raw_affiliation_string":"Computer and Communication Engineering, Manipal University Jaipur, Jaipur, India","institution_ids":["https://openalex.org/I73779912"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101595077","display_name":"Vijaypal Singh Dhaka","orcid":"https://orcid.org/0000-0003-2578-6874"},"institutions":[{"id":"https://openalex.org/I73779912","display_name":"Manipal University Jaipur","ror":"https://ror.org/040h76494","country_code":null,"type":"education","lineage":["https://openalex.org/I73779912"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vijaypal Singh Dhaka","raw_affiliation_strings":["Computer and Communication Engineering, Manipal University Jaipur, Jaipur, India"],"affiliations":[{"raw_affiliation_string":"Computer and Communication Engineering, Manipal University Jaipur, Jaipur, India","institution_ids":["https://openalex.org/I73779912"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5112733453"],"corresponding_institution_ids":["https://openalex.org/I166533956"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20500456,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"253","last_page":"260"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9958999752998352,"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":0.9958999752998352,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9854999780654907,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9817000031471252,"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/computer-science","display_name":"Computer science","score":0.803354024887085},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6736761331558228},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.583845317363739},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5608261227607727},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5238861441612244},{"id":"https://openalex.org/keywords/document-classification","display_name":"Document classification","score":0.4531444013118744},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.4232464134693146},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.41352805495262146},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.4101278781890869},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39585080742836},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37116557359695435},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.35102295875549316}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.803354024887085},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6736761331558228},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.583845317363739},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5608261227607727},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5238861441612244},{"id":"https://openalex.org/C2780479914","wikidata":"https://www.wikidata.org/wiki/Q302088","display_name":"Document classification","level":2,"score":0.4531444013118744},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.4232464134693146},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.41352805495262146},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.4101278781890869},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39585080742836},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37116557359695435},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.35102295875549316},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3484824.3484912","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3484824.3484912","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Data Science, Machine Learning and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7799999713897705,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2009999657","https://openalex.org/W2132190387","https://openalex.org/W2137182055","https://openalex.org/W2595788402","https://openalex.org/W2888039742","https://openalex.org/W2903976715","https://openalex.org/W2918540534","https://openalex.org/W2951603891","https://openalex.org/W3021453518","https://openalex.org/W3023211159","https://openalex.org/W4245492697","https://openalex.org/W6968256860"],"related_works":["https://openalex.org/W2113981829","https://openalex.org/W2541652701","https://openalex.org/W2098209631","https://openalex.org/W1569375842","https://openalex.org/W2155888683","https://openalex.org/W2765967834","https://openalex.org/W2786732579","https://openalex.org/W2955770286","https://openalex.org/W2603814024","https://openalex.org/W2966017935"],"abstract_inverted_index":{"The":[0,19,97,115,177],"objective":[1],"of":[2,15,59,67,87,103,109,122,151,163,173,183,198],"this":[3],"research":[4],"is":[5],"to":[6,91,189],"develop":[7],"a":[8,119],"hybrid":[9,175,178],"model":[10,69,98],"for":[11,129,145,204],"optimizing":[12],"the":[13,22,31,40,57,65,79,85,88,93,100,123,130,135,149,155,161,171,174,181],"performance":[14,66],"text":[16,131,146],"classification":[17,95,147,162],"techniques.":[18],"authors":[20,116],"applied":[21,128],"Genetic":[23,80],"Algorithm":[24,81],"and":[25,39,112,125,186,209],"Multi-Class":[26],"Support":[27],"Vector":[28],"Machine":[29],"on":[30,70,106,134],"publicly":[32],"available":[33,201],"datasets":[34,108],"viz.":[35],"20":[36],"Newsgroup":[37],"corpus,":[38],"Reuters":[41,110],"21,578":[42,111],"corpus.":[43,114],"They":[44,63,77],"also":[45,117],"used":[46],"their":[47,68],"handcrafted":[48],"'Creative":[49],"corpus'":[50],"prepared":[51],"by":[52],"collecting":[53],"news":[54,61],"articles":[55],"from":[56],"Times":[58],"India":[60],"portal.":[62],"evaluated":[64],"large":[71],"as":[72,74],"well":[73],"small":[75,107],"corpora.":[76],"employed":[78],"that":[82,140],"dynamically":[83],"decides":[84],"weights":[86],"contextual":[89],"features":[90],"achieve":[92],"highest":[94,101],"accuracy.":[96],"achieves":[99],"accuracy":[102],"100":[104],"%":[105],"Creative":[113],"presented":[118],"comparative":[120],"analysis":[121],"statistical":[124,141],"context-based":[126,156],"approaches":[127,142,157],"classification.":[132],"Based":[133],"experimental":[136],"results":[137],"they":[138],"proved":[139],"are":[143,158],"better":[144],"in":[148,160,202],"case":[150],"small-sized":[152],"documents.":[153],"Whereas":[154],"efficient":[159],"huge":[164],"documents":[165],"enriched":[166],"with":[167],"text.":[168],"This":[169],"showed":[170],"importance":[172],"approach.":[176],"approach":[179],"taps":[180],"power":[182],"ontological":[184],"databases":[185],"can":[187],"adapt":[188],"varying":[190],"corpora":[191],"flawlessly.":[192],"Thus,":[193],"it":[194],"makes":[195],"effective":[196],"use":[197],"textual":[199],"data":[200],"reports":[203],"crime":[205,207],"detection,":[206],"classification,":[208],"disease":[210],"diagnosis,":[211],"etc.":[212]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}