{"id":"https://openalex.org/W3164246858","doi":"https://doi.org/10.3233/jifs-202707","title":"Visualization and performance measure to determine number of topics in twitter data clustering using hybrid topic modeling","display_name":"Visualization and performance measure to determine number of topics in twitter data clustering using hybrid topic modeling","publication_year":2021,"publication_date":"2021-05-21","ids":{"openalex":"https://openalex.org/W3164246858","doi":"https://doi.org/10.3233/jifs-202707","mag":"3164246858"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-202707","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-202707","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy 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/A5052264811","display_name":"RM Noorullah","orcid":null},"institutions":[{"id":"https://openalex.org/I875944469","display_name":"Koneru Lakshmaiah Education Foundation","ror":"https://ror.org/02k949197","country_code":"IN","type":"education","lineage":["https://openalex.org/I875944469"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"R.M. Noorullah","raw_affiliation_strings":["Department of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India"],"affiliations":[{"raw_affiliation_string":"Department of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India","institution_ids":["https://openalex.org/I875944469"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080404719","display_name":"Moulana Mohammed","orcid":"https://orcid.org/0000-0001-5039-8836"},"institutions":[{"id":"https://openalex.org/I875944469","display_name":"Koneru Lakshmaiah Education Foundation","ror":"https://ror.org/02k949197","country_code":"IN","type":"education","lineage":["https://openalex.org/I875944469"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Moulana Mohammed","raw_affiliation_strings":["Department of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India"],"affiliations":[{"raw_affiliation_string":"Department of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India","institution_ids":["https://openalex.org/I875944469"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5052264811"],"corresponding_institution_ids":["https://openalex.org/I875944469"],"apc_list":null,"apc_paid":null,"fwci":8.1016,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.97576794,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"41","issue":"1","first_page":"803","last_page":"817"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13910","display_name":"Computational and Text Analysis Methods","score":0.9987000226974487,"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"}},"topics":[{"id":"https://openalex.org/T13910","display_name":"Computational and Text Analysis Methods","score":0.9987000226974487,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9760000109672546,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13398","display_name":"Data Analysis with R","score":0.9704999923706055,"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":0.7840112447738647},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.730715274810791},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.710343062877655},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.58985435962677},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4967496991157532},{"id":"https://openalex.org/keywords/complement","display_name":"Complement (music)","score":0.4885736405849457},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4859529733657837},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.4658207893371582},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.45090192556381226},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.44153472781181335},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.37470197677612305},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3453669846057892},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16268077492713928},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1260623335838318}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7840112447738647},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.730715274810791},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.710343062877655},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.58985435962677},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4967496991157532},{"id":"https://openalex.org/C112313634","wikidata":"https://www.wikidata.org/wiki/Q7886648","display_name":"Complement (music)","level":5,"score":0.4885736405849457},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4859529733657837},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.4658207893371582},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.45090192556381226},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.44153472781181335},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.37470197677612305},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3453669846057892},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16268077492713928},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1260623335838318},{"id":"https://openalex.org/C127716648","wikidata":"https://www.wikidata.org/wiki/Q104053","display_name":"Phenotype","level":3,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C188082640","wikidata":"https://www.wikidata.org/wiki/Q1780899","display_name":"Complementation","level":4,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-202707","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-202707","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1872359383","https://openalex.org/W1916023682","https://openalex.org/W1991676464","https://openalex.org/W2007273639","https://openalex.org/W2016196732","https://openalex.org/W2072197406","https://openalex.org/W2087382273","https://openalex.org/W2120379285","https://openalex.org/W2132052677","https://openalex.org/W2144100511","https://openalex.org/W2150286230","https://openalex.org/W2160170318","https://openalex.org/W2187089797","https://openalex.org/W2276397252","https://openalex.org/W2309276681","https://openalex.org/W2417560918","https://openalex.org/W2512982496","https://openalex.org/W2762574019","https://openalex.org/W2766947270","https://openalex.org/W2885225356","https://openalex.org/W2942765639","https://openalex.org/W2978342152","https://openalex.org/W2993450281","https://openalex.org/W4237791300"],"related_works":["https://openalex.org/W2068608913","https://openalex.org/W3124914020","https://openalex.org/W2382566571","https://openalex.org/W2141033859","https://openalex.org/W2077542787","https://openalex.org/W2156434174","https://openalex.org/W2071701083","https://openalex.org/W2349321798","https://openalex.org/W2366686860","https://openalex.org/W2383687187"],"abstract_inverted_index":{"Topic":[0],"models":[1,56,139],"are":[2,64,82,140],"widely":[3],"used":[4,57,93],"in":[5,18,58,85,149,157,178,189],"building":[6],"clusters":[7,196],"of":[8,23,31,35,38,44,54,62,69,101,112,115,127,132,154,161,183,192,195],"documents":[9],"for":[10,110],"more":[11],"than":[12],"a":[13,32],"decade,":[14],"yet":[15],"problems":[16],"occurring":[17],"choosing":[19],"the":[20,29,36,42,55,60,67,94,102,113,124,151,159,168,180,193],"optimal":[21,125,152,181],"number":[22,61,114,126,153,182],"topics.":[24],"The":[25,47,163],"main":[26],"problem":[27],"is":[28,98],"lack":[30],"stable":[33],"metric":[34],"quality":[37,68,160,194],"topics":[39,63,70,116,128,148,155,184],"obtained":[40],"during":[41],"construction":[43],"topic":[45,104,138,174],"models.":[46],"authors":[48],"analyzed":[49],"from":[50],"previous":[51],"works,":[52],"most":[53],"determining":[59,179],"non-parametric":[65],"and":[66,75,78,121,156,188],"determined":[71],"by":[72],"using":[73],"perplexity":[74],"coherence":[76],"measures":[77],"concluded":[79],"that":[80,167],"they":[81],"not":[83],"applicable":[84],"solving":[86],"this":[87,90],"problem.":[88],"In":[89],"paper,":[91],"we":[92],"parametric":[95],"method,":[96],"which":[97],"an":[99],"extension":[100],"traditional":[103],"model":[105,175],"with":[106,142,185,197],"visual":[107],"access":[108],"tendency":[109],"visualization":[111,187],"(clusters)":[117],"to":[118,122],"complement":[119],"clustering":[120],"choose":[123],"based":[129],"on":[130,146],"results":[131,165],"cluster":[133],"validity":[134,198],"indices.":[135,199],"Developed":[136],"hybrid":[137],"demonstrated":[141],"different":[143],"Twitter":[144],"datasets":[145],"various":[147],"obtaining":[150],"measuring":[158],"clusters.":[162],"experimental":[164],"showed":[166],"Visual":[169],"Non-negative":[170],"Matrix":[171],"Factorization":[172],"(VNMF)":[173],"performs":[176],"well":[177],"interactive":[186],"performance":[190],"measure":[191]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}