{"id":"https://openalex.org/W4409338736","doi":"https://doi.org/10.3390/computers14040142","title":"An Innovative Approach to Topic Clustering for Social Media and Web Data Using AI","display_name":"An Innovative Approach to Topic Clustering for Social Media and Web Data Using AI","publication_year":2025,"publication_date":"2025-04-10","ids":{"openalex":"https://openalex.org/W4409338736","doi":"https://doi.org/10.3390/computers14040142"},"language":"en","primary_location":{"id":"doi:10.3390/computers14040142","is_oa":true,"landing_page_url":"https://doi.org/10.3390/computers14040142","pdf_url":"https://www.mdpi.com/2073-431X/14/4/142/pdf?version=1744265736","source":{"id":"https://openalex.org/S4210228075","display_name":"Computers","issn_l":"2073-431X","issn":["2073-431X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2073-431X/14/4/142/pdf?version=1744265736","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5096754469","display_name":"Ioannis Kapantaidakis","orcid":null},"institutions":[{"id":"https://openalex.org/I28710699","display_name":"Hellenic Mediterranean University","ror":"https://ror.org/039ce0m20","country_code":"GR","type":"education","lineage":["https://openalex.org/I28710699"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Ioannis Kapantaidakis","raw_affiliation_strings":["Department of Management Science and Technology, Hellenic Mediterranean University, 72100 Agios Nikolaos, Greece"],"raw_orcid":"https://orcid.org/0009-0002-7196-4686","affiliations":[{"raw_affiliation_string":"Department of Management Science and Technology, Hellenic Mediterranean University, 72100 Agios Nikolaos, Greece","institution_ids":["https://openalex.org/I28710699"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003688123","display_name":"Emmanouil Perakakis","orcid":"https://orcid.org/0000-0002-9974-0820"},"institutions":[{"id":"https://openalex.org/I28710699","display_name":"Hellenic Mediterranean University","ror":"https://ror.org/039ce0m20","country_code":"GR","type":"education","lineage":["https://openalex.org/I28710699"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Emmanouil Perakakis","raw_affiliation_strings":["Department of Management Science and Technology, Hellenic Mediterranean University, 72100 Agios Nikolaos, Greece","Mentionlytics Ltd., 20\u201322 Wenlock Road, London N1 7GU, UK"],"raw_orcid":"https://orcid.org/0000-0002-9974-0820","affiliations":[{"raw_affiliation_string":"Department of Management Science and Technology, Hellenic Mediterranean University, 72100 Agios Nikolaos, Greece","institution_ids":["https://openalex.org/I28710699"]},{"raw_affiliation_string":"Mentionlytics Ltd., 20\u201322 Wenlock Road, London N1 7GU, UK","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030161759","display_name":"George Mastorakis","orcid":"https://orcid.org/0000-0002-6733-5652"},"institutions":[{"id":"https://openalex.org/I28710699","display_name":"Hellenic Mediterranean University","ror":"https://ror.org/039ce0m20","country_code":"GR","type":"education","lineage":["https://openalex.org/I28710699"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"George Mastorakis","raw_affiliation_strings":["Department of Management Science and Technology, Hellenic Mediterranean University, 72100 Agios Nikolaos, Greece","Mentionlytics Ltd., 20\u201322 Wenlock Road, London N1 7GU, UK"],"raw_orcid":"https://orcid.org/0000-0002-6733-5652","affiliations":[{"raw_affiliation_string":"Department of Management Science and Technology, Hellenic Mediterranean University, 72100 Agios Nikolaos, Greece","institution_ids":["https://openalex.org/I28710699"]},{"raw_affiliation_string":"Mentionlytics Ltd., 20\u201322 Wenlock Road, London N1 7GU, UK","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062593128","display_name":"Ioannis Kopanakis","orcid":null},"institutions":[{"id":"https://openalex.org/I28710699","display_name":"Hellenic Mediterranean University","ror":"https://ror.org/039ce0m20","country_code":"GR","type":"education","lineage":["https://openalex.org/I28710699"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Ioannis Kopanakis","raw_affiliation_strings":["Department of Management Science and Technology, Hellenic Mediterranean University, 72100 Agios Nikolaos, Greece","Mentionlytics Ltd., 20\u201322 Wenlock Road, London N1 7GU, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Management Science and Technology, Hellenic Mediterranean University, 72100 Agios Nikolaos, Greece","institution_ids":["https://openalex.org/I28710699"]},{"raw_affiliation_string":"Mentionlytics Ltd., 20\u201322 Wenlock Road, London N1 7GU, UK","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5096754469"],"corresponding_institution_ids":["https://openalex.org/I28710699"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1732},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1732},"fwci":4.2009,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.93461413,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"14","issue":"4","first_page":"142","last_page":"142"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9980000257492065,"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"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9980000257492065,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9972000122070312,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9957000017166138,"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/social-media","display_name":"Social media","score":0.7259869575500488},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6995818018913269},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5883344411849976},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5408937931060791},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.47674405574798584},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.38479000329971313},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2173307240009308}],"concepts":[{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.7259869575500488},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6995818018913269},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5883344411849976},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5408937931060791},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.47674405574798584},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.38479000329971313},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2173307240009308}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/computers14040142","is_oa":true,"landing_page_url":"https://doi.org/10.3390/computers14040142","pdf_url":"https://www.mdpi.com/2073-431X/14/4/142/pdf?version=1744265736","source":{"id":"https://openalex.org/S4210228075","display_name":"Computers","issn_l":"2073-431X","issn":["2073-431X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:c61a4ccc6dca4550af34f8481e304821","is_oa":true,"landing_page_url":"https://doaj.org/article/c61a4ccc6dca4550af34f8481e304821","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computers, Vol 14, Iss 4, p 142 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/computers14040142","is_oa":true,"landing_page_url":"https://doi.org/10.3390/computers14040142","pdf_url":"https://www.mdpi.com/2073-431X/14/4/142/pdf?version=1744265736","source":{"id":"https://openalex.org/S4210228075","display_name":"Computers","issn_l":"2073-431X","issn":["2073-431X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4409338736.pdf","grobid_xml":"https://content.openalex.org/works/W4409338736.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W1673310716","https://openalex.org/W1902027874","https://openalex.org/W1978394996","https://openalex.org/W2038043464","https://openalex.org/W2042265634","https://openalex.org/W2051224630","https://openalex.org/W2086093608","https://openalex.org/W2127218421","https://openalex.org/W2147152072","https://openalex.org/W2153579005","https://openalex.org/W2168558161","https://openalex.org/W2322557215","https://openalex.org/W2347010348","https://openalex.org/W2493916176","https://openalex.org/W2538520833","https://openalex.org/W2542550679","https://openalex.org/W2907637593","https://openalex.org/W2945582858","https://openalex.org/W2970641574","https://openalex.org/W3037810815","https://openalex.org/W3041242936","https://openalex.org/W3088686867","https://openalex.org/W3091861556","https://openalex.org/W3117550468","https://openalex.org/W3155457426","https://openalex.org/W4226082499","https://openalex.org/W4231510805","https://openalex.org/W4247105055","https://openalex.org/W4309482398","https://openalex.org/W4361290857","https://openalex.org/W4382048152","https://openalex.org/W4389519604","https://openalex.org/W4394773672","https://openalex.org/W4402329213","https://openalex.org/W4406640860","https://openalex.org/W6639619044","https://openalex.org/W6647703210","https://openalex.org/W6660976602","https://openalex.org/W6678914141","https://openalex.org/W6682044806","https://openalex.org/W6685108220"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W4298130764","https://openalex.org/W2804364458","https://openalex.org/W2132641928","https://openalex.org/W4310225030","https://openalex.org/W2090259340","https://openalex.org/W1926736923","https://openalex.org/W2158836806","https://openalex.org/W2393816671","https://openalex.org/W2083665254"],"abstract_inverted_index":{"The":[0,125],"vast":[1,45],"amount":[2],"of":[3,47,68,89,98,117,150,171,213,234,243,250,260,269],"social":[4,216,223,270],"media":[5],"and":[6,25,36,136,209,215,224,227,240,271,279],"web":[7,214,225,272],"data":[8,32,140,226,273],"offers":[9],"valuable":[10,38],"insights":[11,39],"for":[12,145,184,207],"purposes":[13],"such":[14,119,176],"as":[15,120,177],"brand":[16],"reputation":[17],"management,":[18],"topic":[19,63,111,185,211],"research,":[20],"competitive":[21],"analysis,":[22],"product":[23],"development,":[24],"public":[26],"opinion":[27],"surveys.":[28],"However,":[29],"analysing":[30],"these":[31],"to":[33,43,72,105,187,203,229],"identify":[34],"patterns":[35],"extract":[37],"is":[40,62],"challenging":[41],"due":[42],"the":[44,53,99,103,143,146,162,165,169,189,230,251,267],"number":[46,51],"posts,":[48,118],"which":[49,65],"can":[50,114,181],"in":[52],"thousands":[54,88],"within":[55,164],"a":[56,73,94,151],"single":[57],"day.":[58],"One":[59],"practical":[60],"approach":[61,194,265],"clustering,":[64],"creates":[66],"clusters":[67,92,147,252],"mentions":[69,163],"that":[70,154,253],"refer":[71],"specific":[74],"topic.":[75],"Following":[76],"this":[77],"process":[78],"will":[79],"create":[80],"several":[81,130],"manageable":[82],"clusters,":[83],"each":[84,107],"containing":[85],"hundreds":[86],"or":[87,138],"posts.":[90],"These":[91],"offer":[93],"more":[95,277],"meaningful":[96,278],"overview":[97],"discussed":[100],"topics,":[101],"eliminating":[102],"need":[104],"categorise":[106],"post":[108],"manually.":[109],"Several":[110],"detection":[112],"algorithms":[113],"achieve":[115],"clustering":[116,186,212],"LDA,":[121],"NMF,":[122],"BERTopic,":[123,235],"etc.":[124],"existing":[126,232],"algorithms,":[127],"however,":[128],"have":[129],"important":[131],"drawbacks,":[132],"including":[133],"language":[134,174],"constraints":[135],"slow":[137],"resource-intensive":[139],"processing.":[141],"Moreover,":[142],"labels":[144],"typically":[148],"consist":[149],"few":[152],"keywords":[153],"may":[155],"not":[156],"make":[157],"sense":[158],"unless":[159],"one":[160],"explores":[161],"cluster.":[166],"Recently,":[167],"with":[168],"introduction":[170],"AI":[172],"large":[173],"models,":[175],"GPT-4,":[178],"new":[179],"techniques":[180],"be":[182],"realised":[183],"address":[188],"aforementioned":[190],"issues.":[191],"Our":[192,218],"novel":[193],"(AI":[195],"Mention":[196],"Clustering)":[197],"employs":[198],"LLMs":[199],"at":[200],"its":[201],"core":[202],"produce":[204],"an":[205],"algorithm":[206,233],"efficient":[208],"accurate":[210],"data.":[217],"solution":[219],"was":[220],"tested":[221],"on":[222],"compared":[228],"popular":[231],"demonstrating":[236],"superior":[237],"resource":[238],"efficiency":[239],"absolute":[241],"accuracy":[242],"clustered":[244],"documents.":[245],"Furthermore,":[246],"it":[247],"produces":[248],"summaries":[249],"are":[254],"easily":[255],"understood":[256],"by":[257,275],"humans":[258],"instead":[259],"just":[261],"representative":[262],"keywords.":[263],"This":[264],"enhances":[266],"productivity":[268],"researchers":[274],"providing":[276],"interpretable":[280],"results.":[281]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
