{"id":"https://openalex.org/W4312633631","doi":"https://doi.org/10.1109/icccnt54827.2022.9984466","title":"Comparative Study Analysis on News Articles Categorization using LSA and NMF Approaches","display_name":"Comparative Study Analysis on News Articles Categorization using LSA and NMF Approaches","publication_year":2022,"publication_date":"2022-10-03","ids":{"openalex":"https://openalex.org/W4312633631","doi":"https://doi.org/10.1109/icccnt54827.2022.9984466"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt54827.2022.9984466","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt54827.2022.9984466","pdf_url":null,"source":{"id":"https://openalex.org/S4363607876","display_name":"2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT)","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/A5077614754","display_name":"Bandi Rupendra Reddy","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Bandi Rupendra Reddy","raw_affiliation_strings":["Amrita School of Computing, Bengaluru, Amrita Vishwa Vidyapeetham,Department of Computer Science and Engineering,India","Department of Computer Science and Engineering, Amrita School of Computing, Bengaluru, Amrita Vishwa Vidyapeetham, India"],"affiliations":[{"raw_affiliation_string":"Amrita School of Computing, Bengaluru, Amrita Vishwa Vidyapeetham,Department of Computer Science and Engineering,India","institution_ids":["https://openalex.org/I81556334"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Amrita School of Computing, Bengaluru, Amrita Vishwa Vidyapeetham, India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031786031","display_name":"Darukumalli Sai Tharun Reddy","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Darukumalli Sai Tharun Reddy","raw_affiliation_strings":["Amrita School of Computing, Bengaluru, Amrita Vishwa Vidyapeetham,Department of Computer Science and Engineering,India","Department of Computer Science and Engineering, Amrita School of Computing, Bengaluru, Amrita Vishwa Vidyapeetham, India"],"affiliations":[{"raw_affiliation_string":"Amrita School of Computing, Bengaluru, Amrita Vishwa Vidyapeetham,Department of Computer Science and Engineering,India","institution_ids":["https://openalex.org/I81556334"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Amrita School of Computing, Bengaluru, Amrita Vishwa Vidyapeetham, India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057817946","display_name":"Monisha Preetham","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"M C Sandeep Preetham","raw_affiliation_strings":["Amrita School of Computing, Bengaluru, Amrita Vishwa Vidyapeetham,Department of Computer Science and Engineering,India","Department of Computer Science and Engineering, Amrita School of Computing, Bengaluru, Amrita Vishwa Vidyapeetham, India"],"affiliations":[{"raw_affiliation_string":"Amrita School of Computing, Bengaluru, Amrita Vishwa Vidyapeetham,Department of Computer Science and Engineering,India","institution_ids":["https://openalex.org/I81556334"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Amrita School of Computing, Bengaluru, Amrita Vishwa Vidyapeetham, India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058301330","display_name":"Alamanda Hima Naga Rajasekhar","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"A H N Rajasekhar","raw_affiliation_strings":["Amrita School of Computing, Bengaluru, Amrita Vishwa Vidyapeetham,Department of Computer Science and Engineering,India","Department of Computer Science and Engineering, Amrita School of Computing, Bengaluru, Amrita Vishwa Vidyapeetham, India"],"affiliations":[{"raw_affiliation_string":"Amrita School of Computing, Bengaluru, Amrita Vishwa Vidyapeetham,Department of Computer Science and Engineering,India","institution_ids":["https://openalex.org/I81556334"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Amrita School of Computing, Bengaluru, Amrita Vishwa Vidyapeetham, India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061814952","display_name":"R Subramani","orcid":null},"institutions":[{"id":"https://openalex.org/I48018076","display_name":"Christ University","ror":"https://ror.org/022tv9y30","country_code":"IN","type":"education","lineage":["https://openalex.org/I48018076"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"R Subramani","raw_affiliation_strings":["CHRIST (Deemed to be University),Department of Mathematics,Bengaluru,India,560029"],"affiliations":[{"raw_affiliation_string":"CHRIST (Deemed to be University),Department of Mathematics,Bengaluru,India,560029","institution_ids":["https://openalex.org/I48018076"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5077614754"],"corresponding_institution_ids":["https://openalex.org/I81556334"],"apc_list":null,"apc_paid":null,"fwci":0.2078,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.43837535,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2017","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9936000108718872,"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/T10028","display_name":"Topic Modeling","score":0.9936000108718872,"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/T13910","display_name":"Computational and Text Analysis Methods","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9930999875068665,"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/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.8643125891685486},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.774008572101593},{"id":"https://openalex.org/keywords/latent-semantic-analysis","display_name":"Latent semantic analysis","score":0.7043309211730957},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.7041207551956177},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6323981285095215},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5684796571731567},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.5457668900489807},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.4748908579349518},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4602104723453522},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.439276784658432},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3791971802711487},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09570884704589844},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08180955052375793}],"concepts":[{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.8643125891685486},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.774008572101593},{"id":"https://openalex.org/C170133592","wikidata":"https://www.wikidata.org/wiki/Q1806883","display_name":"Latent semantic analysis","level":2,"score":0.7043309211730957},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.7041207551956177},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6323981285095215},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5684796571731567},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.5457668900489807},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.4748908579349518},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4602104723453522},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.439276784658432},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3791971802711487},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09570884704589844},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08180955052375793},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt54827.2022.9984466","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt54827.2022.9984466","pdf_url":null,"source":{"id":"https://openalex.org/S4363607876","display_name":"2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5799999833106995}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2785843976","https://openalex.org/W2955212646","https://openalex.org/W2962686197","https://openalex.org/W2979508256","https://openalex.org/W2980187536","https://openalex.org/W3004634061","https://openalex.org/W3011044241","https://openalex.org/W3033028194","https://openalex.org/W3084524306","https://openalex.org/W3116735109","https://openalex.org/W3154415856","https://openalex.org/W3155264312","https://openalex.org/W3193503467","https://openalex.org/W3193684126","https://openalex.org/W3201405160","https://openalex.org/W4205818640","https://openalex.org/W4285156758","https://openalex.org/W6747864833","https://openalex.org/W6788181325"],"related_works":["https://openalex.org/W4390394189","https://openalex.org/W2037504162","https://openalex.org/W2539013788","https://openalex.org/W2792706544","https://openalex.org/W1568451138","https://openalex.org/W2156699640","https://openalex.org/W2045265907","https://openalex.org/W2972997031","https://openalex.org/W2146544734","https://openalex.org/W2075222291"],"abstract_inverted_index":{"Due":[0],"to":[1,18,24,38,65,68,130],"exponentially":[2],"growing":[3,53],"news":[4,74,100],"articles":[5,28,62],"every":[6],"day,":[7],"most":[8,52],"of":[9,50,72],"their":[10,39],"important":[11,17],"data":[12,134],"goes":[13],"unnoticed.":[14],"It":[15],"is":[16,48],"come":[19],"up":[20],"with":[21,135],"the":[22,34,51,70,73,86,103,122,125,132],"ability":[23],"automatically":[25],"analyse":[26],"these":[27],"and":[29,36,91,98,109,116,140],"segregate":[30],"them":[31],"based":[32,120],"on":[33,58,85,121],"context":[35,71],"related":[37],"particular":[40],"domain.":[41],"This":[42],"paper":[43],"applies":[44],"topic":[45,113],"modelling":[46,114],"which":[47],"one":[49],"unsupervised":[54],"machine":[55],"learning":[56],"fields":[57],"a":[59],"million":[60],"headlines":[61],"in":[63],"order":[64],"produce":[66],"topics":[67],"describe":[69],"article.":[75],"There":[76],"are":[77,111],"various":[78],"generative":[79],"models":[80],"but":[81,119],"we":[82],"specifically":[83],"focusing":[84],"non-negative":[87],"matrix":[88],"factorization":[89],"(NMF)":[90],"Latent":[92],"Semantic":[93],"Analysis":[94],"(LSA)":[95],"for":[96],"implementing":[97],"evaluating":[99],"dataset.":[101],"Furthermore,":[102],"findings":[104],"reveal":[105],"that":[106],"both":[107],"NMF":[108],"LSA":[110,126],"useful":[112],"tools":[115],"classification":[117],"frameworks,":[118],"experimental":[123],"results":[124],"model":[127],"performed":[128],"well":[129],"identify":[131],"hidden":[133],"better":[136],"mean":[137],"coherence":[138],"values":[139],"also":[141],"consumes":[142],"lesser":[143],"execution":[144],"time":[145],"than":[146],"NMF.":[147]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}