{"id":"https://openalex.org/W3082454291","doi":"https://doi.org/10.4018/ijsir.2020100101","title":"Optimization of Text Feature Selection Process Based on Advanced Searching for News Classification","display_name":"Optimization of Text Feature Selection Process Based on Advanced Searching for News Classification","publication_year":2020,"publication_date":"2020-09-02","ids":{"openalex":"https://openalex.org/W3082454291","doi":"https://doi.org/10.4018/ijsir.2020100101","mag":"3082454291"},"language":"en","primary_location":{"id":"doi:10.4018/ijsir.2020100101","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijsir.2020100101","pdf_url":null,"source":{"id":"https://openalex.org/S146254016","display_name":"International Journal of Swarm Intelligence Research","issn_l":"1947-9263","issn":["1947-9263","1947-9271"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Swarm Intelligence Research","raw_type":"journal-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/A5022938538","display_name":"Khin Sandar Kyaw","orcid":"https://orcid.org/0000-0002-6977-558X"},"institutions":[{"id":"https://openalex.org/I131868736","display_name":"Prince of Songkla University","ror":"https://ror.org/0575ycz84","country_code":"TH","type":"education","lineage":["https://openalex.org/I131868736"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Khin Sandar Kyaw","raw_affiliation_strings":["Department of Computer Engineering, Prince of Songkla University, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Prince of Songkla University, Thailand","institution_ids":["https://openalex.org/I131868736"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008101137","display_name":"Somchai Limsiroratana","orcid":"https://orcid.org/0000-0002-2499-1828"},"institutions":[{"id":"https://openalex.org/I131868736","display_name":"Prince of Songkla University","ror":"https://ror.org/0575ycz84","country_code":"TH","type":"education","lineage":["https://openalex.org/I131868736"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Somchai Limsiroratana","raw_affiliation_strings":["Department of Computer Engineering, Prince of Songkla University, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Prince of Songkla University, Thailand","institution_ids":["https://openalex.org/I131868736"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I131868736"],"apc_list":null,"apc_paid":null,"fwci":0.3911,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.68979076,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"11","issue":"4","first_page":"1","last_page":"23"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9740999937057495,"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":0.9740999937057495,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9657999873161316,"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":0.9247999787330627,"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/feature-selection","display_name":"Feature selection","score":0.7855401635169983},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7575315237045288},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6225892901420593},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5171718001365662},{"id":"https://openalex.org/keywords/document-classification","display_name":"Document classification","score":0.5069980621337891},{"id":"https://openalex.org/keywords/fitness-function","display_name":"Fitness function","score":0.48329809308052063},{"id":"https://openalex.org/keywords/newspaper","display_name":"Newspaper","score":0.47790560126304626},{"id":"https://openalex.org/keywords/swarm-intelligence","display_name":"Swarm intelligence","score":0.46821048855781555},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45165809988975525},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.4503830075263977},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44001826643943787},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4373651146888733},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.30971062183380127},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.18177199363708496}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7855401635169983},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7575315237045288},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6225892901420593},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5171718001365662},{"id":"https://openalex.org/C2780479914","wikidata":"https://www.wikidata.org/wiki/Q302088","display_name":"Document classification","level":2,"score":0.5069980621337891},{"id":"https://openalex.org/C176066374","wikidata":"https://www.wikidata.org/wiki/Q629118","display_name":"Fitness function","level":3,"score":0.48329809308052063},{"id":"https://openalex.org/C201280247","wikidata":"https://www.wikidata.org/wiki/Q11032","display_name":"Newspaper","level":2,"score":0.47790560126304626},{"id":"https://openalex.org/C119487961","wikidata":"https://www.wikidata.org/wiki/Q863960","display_name":"Swarm intelligence","level":3,"score":0.46821048855781555},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45165809988975525},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.4503830075263977},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44001826643943787},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4373651146888733},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.30971062183380127},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.18177199363708496},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C112698675","wikidata":"https://www.wikidata.org/wiki/Q37038","display_name":"Advertising","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.4018/ijsir.2020100101","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijsir.2020100101","pdf_url":null,"source":{"id":"https://openalex.org/S146254016","display_name":"International Journal of Swarm Intelligence Research","issn_l":"1947-9263","issn":["1947-9263","1947-9271"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Swarm Intelligence Research","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:igg:jsir00:v:11:y:2020:i:4:p:1-23","is_oa":false,"landing_page_url":"https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJSIR.2020100101","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.550000011920929,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1495061682","https://openalex.org/W1543568654","https://openalex.org/W1562559546","https://openalex.org/W1606402766","https://openalex.org/W1878305827","https://openalex.org/W1915630765","https://openalex.org/W1973802342","https://openalex.org/W1980053379","https://openalex.org/W1999749445","https://openalex.org/W2002298104","https://openalex.org/W2032052034","https://openalex.org/W2085691067","https://openalex.org/W2115358779","https://openalex.org/W2129250947","https://openalex.org/W2166810342","https://openalex.org/W2254897624","https://openalex.org/W2255103830","https://openalex.org/W2573212983","https://openalex.org/W2589822484","https://openalex.org/W2606926586","https://openalex.org/W2609220535","https://openalex.org/W2725215130","https://openalex.org/W2735994428","https://openalex.org/W2764007648","https://openalex.org/W2766325957","https://openalex.org/W2778838805","https://openalex.org/W2783186826","https://openalex.org/W2806839329","https://openalex.org/W2849342073","https://openalex.org/W2885189236","https://openalex.org/W2888602283","https://openalex.org/W2890843359","https://openalex.org/W2896026570","https://openalex.org/W2897088694","https://openalex.org/W3100933494","https://openalex.org/W4241540808"],"related_works":["https://openalex.org/W1634842376","https://openalex.org/W4254728455","https://openalex.org/W2155027171","https://openalex.org/W2021504082","https://openalex.org/W1583704618","https://openalex.org/W4251598402","https://openalex.org/W4249911020","https://openalex.org/W4251867900","https://openalex.org/W2012451526","https://openalex.org/W2101982604"],"abstract_inverted_index":{"Nowadays,":[0],"the":[1,7,17,31,48,56,83,97,100,124,130],"culture":[2],"for":[3,21,40,63,81,88,129],"accessing":[4],"news":[5,43,92],"around":[6],"world":[8],"is":[9,46],"changed":[10],"from":[11,35],"paper":[12],"format":[13],"to":[14,96],"electronic":[15],"and":[16,23],"rate":[18,125],"of":[19,126],"publication":[20],"newspapers":[22],"magazines":[24],"on":[25,73],"websites":[26],"have":[27],"increased":[28],"dramatically.":[29],"Therefore,":[30],"feature":[32,38,86],"selection":[33],"process":[34],"high-dimensional":[36],"text":[37],"set":[39],"an":[41],"automatic":[42],"classification":[44,64,93,120],"model":[45],"becoming":[47],"top":[49],"challenge":[50],"because":[51],"irrelevant":[52],"features":[53],"can":[54,105],"degrade":[55],"accuracy":[57,90],"with":[58,113],"high":[59],"cost":[60],"computation":[61],"time":[62],"model.":[65],"In":[66],"this":[67],"article,":[68],"six-advanced":[69],"search":[70,102],"policies":[71],"based":[72],"evolutionary,":[74],"swarm":[75],"intelligence,":[76],"nature-inspired":[77],"intelligence":[78],"are":[79],"observed":[80],"achieving":[82],"global":[84],"optimal":[85,89,119],"subset":[87],"in":[91,108,111],"problem.":[94],"According":[95],"experimental":[98],"results,":[99],"advanced":[101],"schemes":[103],"that":[104],"provide":[106],"flexibility":[107],"integrating":[109],"classifier":[110],"accordance":[112],"its":[114],"objective":[115],"function":[116],"such":[117],"as":[118],"performance":[121],"by":[122],"adjusting":[123],"modification":[127],"parameters":[128],"testing":[131],"data.":[132]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T06:19:23.411458","created_date":"2025-10-10T00:00:00"}
