{"id":"https://openalex.org/W2921578339","doi":"https://doi.org/10.1142/s0218488519500090","title":"Particle Grey Wolf Optimizer (PGWO) Algorithm and Semantic Word Processing for Automatic Text Clustering","display_name":"Particle Grey Wolf Optimizer (PGWO) Algorithm and Semantic Word Processing for Automatic Text Clustering","publication_year":2019,"publication_date":"2019-03-07","ids":{"openalex":"https://openalex.org/W2921578339","doi":"https://doi.org/10.1142/s0218488519500090","mag":"2921578339"},"language":"en","primary_location":{"id":"doi:10.1142/s0218488519500090","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218488519500090","pdf_url":null,"source":{"id":"https://openalex.org/S69518169","display_name":"International Journal of Uncertainty Fuzziness and Knowledge-Based Systems","issn_l":"0218-4885","issn":["0218-4885","1793-6411"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems","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/A5027426257","display_name":"Ch. Vidyadhari","orcid":null},"institutions":[{"id":"https://openalex.org/I4210101093","display_name":"St. Joseph's Institute of Technology","ror":"https://ror.org/012npkr10","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210101093"]},{"id":"https://openalex.org/I4387154592","display_name":"St. Joseph\u2019s College of Engineering","ror":"https://ror.org/01g3pby21","country_code":null,"type":"education","lineage":["https://openalex.org/I4387154592"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ch. Vidyadhari","raw_affiliation_strings":["St. Joseph College of Engineering, Old Mamallapuram Road, Semmencherry, Chennai 600 119, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"St. Joseph College of Engineering, Old Mamallapuram Road, Semmencherry, Chennai 600 119, India","institution_ids":["https://openalex.org/I4210101093","https://openalex.org/I4387154592"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026670679","display_name":"N. Sandhya","orcid":"https://orcid.org/0000-0003-4962-2647"},"institutions":[{"id":"https://openalex.org/I10874241","display_name":"Jawaharlal Nehru Technological University, Hyderabad","ror":"https://ror.org/002tchr49","country_code":"IN","type":"education","lineage":["https://openalex.org/I10874241"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"N. Sandhya","raw_affiliation_strings":["Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering and Technology (VNRVJIET), Nizampet Rd, Pragathi Nagar, Hyderabad, Telangana 500090, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering and Technology (VNRVJIET), Nizampet Rd, Pragathi Nagar, Hyderabad, Telangana 500090, India","institution_ids":["https://openalex.org/I10874241"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107863294","display_name":"P. Premchand","orcid":null},"institutions":[{"id":"https://openalex.org/I8975392","display_name":"Osmania University","ror":"https://ror.org/030sjb889","country_code":"IN","type":"education","lineage":["https://openalex.org/I8975392"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"P. Premchand","raw_affiliation_strings":["University College of Engineering, Osmania University, Osmania University Main Rd, Amberpet, Hyderabad, Telangana 500007, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University College of Engineering, Osmania University, Osmania University Main Rd, Amberpet, Hyderabad, Telangana 500007, India","institution_ids":["https://openalex.org/I8975392"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9883,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.81623679,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"27","issue":"02","first_page":"201","last_page":"223"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9954000115394592,"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":0.9954000115394592,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9915000200271606,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/cluster-analysis","display_name":"Cluster analysis","score":0.7990083694458008},{"id":"https://openalex.org/keywords/document-clustering","display_name":"Document clustering","score":0.7551199197769165},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7495760917663574},{"id":"https://openalex.org/keywords/wordnet","display_name":"WordNet","score":0.6496836543083191},{"id":"https://openalex.org/keywords/keyword-extraction","display_name":"Keyword extraction","score":0.6015194654464722},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5685873031616211},{"id":"https://openalex.org/keywords/text-processing","display_name":"Text processing","score":0.47365841269493103},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.4364733099937439},{"id":"https://openalex.org/keywords/text-segmentation","display_name":"Text segmentation","score":0.42702847719192505},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.42482858896255493},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3813759386539459},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.35955125093460083},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35887184739112854},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.24090522527694702},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.1859661042690277}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7990083694458008},{"id":"https://openalex.org/C177937566","wikidata":"https://www.wikidata.org/wiki/Q4223102","display_name":"Document clustering","level":3,"score":0.7551199197769165},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7495760917663574},{"id":"https://openalex.org/C157659113","wikidata":"https://www.wikidata.org/wiki/Q533822","display_name":"WordNet","level":2,"score":0.6496836543083191},{"id":"https://openalex.org/C2780288562","wikidata":"https://www.wikidata.org/wiki/Q25053353","display_name":"Keyword extraction","level":2,"score":0.6015194654464722},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5685873031616211},{"id":"https://openalex.org/C2779500292","wikidata":"https://www.wikidata.org/wiki/Q14802672","display_name":"Text processing","level":2,"score":0.47365841269493103},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.4364733099937439},{"id":"https://openalex.org/C98501671","wikidata":"https://www.wikidata.org/wiki/Q1948408","display_name":"Text segmentation","level":3,"score":0.42702847719192505},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.42482858896255493},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3813759386539459},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.35955125093460083},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35887184739112854},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.24090522527694702},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.1859661042690277}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218488519500090","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218488519500090","pdf_url":null,"source":{"id":"https://openalex.org/S69518169","display_name":"International Journal of Uncertainty Fuzziness and Knowledge-Based Systems","issn_l":"0218-4885","issn":["0218-4885","1793-6411"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.699999988079071,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1588091815","https://openalex.org/W2000117996","https://openalex.org/W2002718698","https://openalex.org/W2006260073","https://openalex.org/W2007267444","https://openalex.org/W2020362627","https://openalex.org/W2029189883","https://openalex.org/W2045587371","https://openalex.org/W2058990119","https://openalex.org/W2060505622","https://openalex.org/W2061438946","https://openalex.org/W2063127047","https://openalex.org/W2071299450","https://openalex.org/W2071416419","https://openalex.org/W2071712180","https://openalex.org/W2095847349","https://openalex.org/W2120887445","https://openalex.org/W2129546202","https://openalex.org/W2139450862","https://openalex.org/W2145252566","https://openalex.org/W2152195021","https://openalex.org/W2160651177","https://openalex.org/W2163264097","https://openalex.org/W4238811432","https://openalex.org/W4243110015","https://openalex.org/W4246266734"],"related_works":["https://openalex.org/W4224240199","https://openalex.org/W2946480284","https://openalex.org/W2551283234","https://openalex.org/W2157998224","https://openalex.org/W2282393731","https://openalex.org/W2360961430","https://openalex.org/W2184658678","https://openalex.org/W2352764285","https://openalex.org/W2184440854","https://openalex.org/W2921578339"],"abstract_inverted_index":{"Text":[0],"mining":[1],"refers":[2],"to":[3,39,45,87,107,110,131,150,186,191,203],"the":[4,8,12,29,33,41,52,62,80,88,93,102,113,121,133,138,143,146,152,157,169,175,181,188,193,205,208,212,224,234,243],"process":[5],"of":[6,54,117,196,207,227,237],"extracting":[7],"high-quality":[9],"information":[10],"from":[11],"text.":[13],"It":[14],"is":[15,57,73,105,123,129,148,165,184,201,215],"broadly":[16],"used":[17,38,130,185],"in":[18],"applications,":[19],"like":[20],"text":[21,23,25,30,42,55,77,81,134,139,197,246],"clustering,":[22],"categorization,":[24],"classification,":[26],"etc.":[27],"Recently,":[28],"clustering":[31,56,225,235],"becomes":[32],"facilitating":[34],"and":[35,49,66,99,115,211,233],"challenging":[36],"task":[37],"group":[40],"document.":[43],"Due":[44],"some":[46],"irrelevant":[47],"terms":[48],"large":[50],"dimension,":[51,145],"accuracy":[53,226,236],"reduced.":[58],"In":[59],"this":[60],"paper,":[61],"semantic":[63],"word":[64],"processing":[65],"novel":[67],"Particle":[68,160],"Grey":[69,161],"Wolf":[70,162],"Optimizer":[71,163],"(PGWO)":[72,164],"proposed":[74,182,209,213,221],"for":[75,96,125,229,239],"automatic":[76,245],"clustering.":[78,100,247],"Initially,":[79],"documents":[82],"are":[83],"given":[84],"as":[85],"input":[86],"pre-processing":[89],"step":[90],"which":[91,128,241],"caters":[92],"useful":[94],"keyword":[95,104,127],"feature":[97,135,140],"extraction":[98],"Then,":[101],"resultant":[103],"applied":[106],"wordnet":[108],"ontology":[109],"find":[111],"out":[112],"synonyms":[114],"hyponyms":[116],"every":[118,126],"keyword.":[119],"Subsequently,":[120],"frequency":[122],"determined":[124],"build":[132],"library.":[136],"Since":[137],"library":[141],"contains":[142],"larger":[144],"entropy":[147],"utilized":[149],"select":[151],"most":[153],"significant":[154],"feature.":[155],"Finally,":[156],"new":[158],"algorithm":[159,183,214],"developed":[166],"by":[167],"integrating":[168],"particle":[170],"swarm":[171],"optimization":[172],"(PSO)":[173],"into":[174],"grey":[176],"wolf":[177],"optimizer":[178],"(GWO).":[179],"Thus,":[180],"assign":[187],"class":[189],"labels":[190],"generate":[192],"different":[194],"clusters":[195],"documents.":[198],"The":[199,220],"simulation":[200],"performed":[202],"analyze":[204],"performance":[206],"algorithm,":[210],"compared":[216],"with":[217],"existing":[218],"algorithms.":[219],"method":[222],"attains":[223],"80.36%":[228],"20":[230],"Newsgroup":[231],"dataset":[232],"79.63%":[238],"Reuter":[240],"ensures":[242],"better":[244]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}