{"id":"https://openalex.org/W2266807369","doi":"https://doi.org/10.3233/ida-150793","title":"Prototype/topic based clustering method for weblogs","display_name":"Prototype/topic based clustering method for weblogs","publication_year":2016,"publication_date":"2016-01-18","ids":{"openalex":"https://openalex.org/W2266807369","doi":"https://doi.org/10.3233/ida-150793","mag":"2266807369"},"language":"en","primary_location":{"id":"doi:10.3233/ida-150793","is_oa":true,"landing_page_url":"https://doi.org/10.3233/ida-150793","pdf_url":"https://content.iospress.com:443/download/intelligent-data-analysis/ida793?id=intelligent-data-analysis%2Fida793","source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"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":"Intelligent Data Analysis","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://content.iospress.com:443/download/intelligent-data-analysis/ida793?id=intelligent-data-analysis%2Fida793","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009919621","display_name":"Fernando P\u00e9rez-T\u00e9llez","orcid":"https://orcid.org/0000-0003-4978-2843"},"institutions":[{"id":"https://openalex.org/I2803035300","display_name":"Tallaght University Hospital","ror":"https://ror.org/01fvmtt37","country_code":"IE","type":"healthcare","lineage":["https://openalex.org/I2803035300"]}],"countries":["IE"],"is_corresponding":true,"raw_author_name":"Fernando Perez-Tellez","raw_affiliation_strings":["Social Media Research Group, Institute of Technology Tallaght, Dublin, Ireland"],"affiliations":[{"raw_affiliation_string":"Social Media Research Group, Institute of Technology Tallaght, Dublin, Ireland","institution_ids":["https://openalex.org/I2803035300"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057111785","display_name":"John Cardiff","orcid":"https://orcid.org/0000-0003-1863-4557"},"institutions":[{"id":"https://openalex.org/I2803035300","display_name":"Tallaght University Hospital","ror":"https://ror.org/01fvmtt37","country_code":"IE","type":"healthcare","lineage":["https://openalex.org/I2803035300"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"John Cardiff","raw_affiliation_strings":["Social Media Research Group, Institute of Technology Tallaght, Dublin, Ireland"],"affiliations":[{"raw_affiliation_string":"Social Media Research Group, Institute of Technology Tallaght, Dublin, Ireland","institution_ids":["https://openalex.org/I2803035300"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053947754","display_name":"Paolo Rosso","orcid":"https://orcid.org/0000-0002-8922-1242"},"institutions":[{"id":"https://openalex.org/I60053951","display_name":"Universitat Polit\u00e8cnica de Val\u00e8ncia","ror":"https://ror.org/01460j859","country_code":"ES","type":"education","lineage":["https://openalex.org/I60053951"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Paolo Rosso","raw_affiliation_strings":["NLE Lab. - PRHLT Research Center, Universitat Polit\u00e8cnica de Val\u00e8ncia, Spain"],"affiliations":[{"raw_affiliation_string":"NLE Lab. - PRHLT Research Center, Universitat Polit\u00e8cnica de Val\u00e8ncia, Spain","institution_ids":["https://openalex.org/I60053951"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016612157","display_name":"David Pinto","orcid":"https://orcid.org/0000-0002-8516-5925"},"institutions":[{"id":"https://openalex.org/I721619","display_name":"Benem\u00e9rita Universidad Aut\u00f3noma de Puebla","ror":"https://ror.org/03p2z7827","country_code":"MX","type":"education","lineage":["https://openalex.org/I721619"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"David Pinto","raw_affiliation_strings":["FCC, Benem\u00e9rita Universidad Aut\u00f3noma de Puebla, Puebla, Mexico"],"affiliations":[{"raw_affiliation_string":"FCC, Benem\u00e9rita Universidad Aut\u00f3noma de Puebla, Puebla, Mexico","institution_ids":["https://openalex.org/I721619"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5009919621"],"corresponding_institution_ids":["https://openalex.org/I2803035300"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00804986,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"20","issue":"1","first_page":"47","last_page":"65"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9987000226974487,"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"}},"topics":[{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9987000226974487,"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"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9929999709129333,"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":0.9925000071525574,"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/cluster-analysis","display_name":"Cluster analysis","score":0.788571834564209},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7440496683120728},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.7183058261871338},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6704255938529968},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6550828218460083},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.63309645652771},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6144348978996277},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.5669475793838501},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.5074974894523621},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5052905678749084},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47660937905311584},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46259206533432007},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4357847571372986},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.4247039258480072},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10380804538726807}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.788571834564209},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7440496683120728},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.7183058261871338},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6704255938529968},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6550828218460083},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.63309645652771},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6144348978996277},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.5669475793838501},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5074974894523621},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5052905678749084},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47660937905311584},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46259206533432007},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4357847571372986},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.4247039258480072},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10380804538726807},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3233/ida-150793","is_oa":true,"landing_page_url":"https://doi.org/10.3233/ida-150793","pdf_url":"https://content.iospress.com:443/download/intelligent-data-analysis/ida793?id=intelligent-data-analysis%2Fida793","source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"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":"Intelligent Data Analysis","raw_type":"journal-article"},{"id":"pmh:oai:riunet.upv.es:10251/82492","is_oa":true,"landing_page_url":"http://hdl.handle.net/10251/82492","pdf_url":null,"source":{"id":"https://openalex.org/S4306401500","display_name":"RiuNet (Politechnical University of Valencia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I60053951","host_organization_name":"Universitat Polit\u00e8cnica de Val\u00e8ncia","host_organization_lineage":["https://openalex.org/I60053951"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.3233/ida-150793","is_oa":true,"landing_page_url":"https://doi.org/10.3233/ida-150793","pdf_url":"https://content.iospress.com:443/download/intelligent-data-analysis/ida793?id=intelligent-data-analysis%2Fida793","source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"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":"Intelligent Data Analysis","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5799999833106995,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2266807369.pdf","grobid_xml":"https://content.openalex.org/works/W2266807369.grobid-xml"},"referenced_works_count":53,"referenced_works":["https://openalex.org/W40976687","https://openalex.org/W83593200","https://openalex.org/W125892352","https://openalex.org/W126722120","https://openalex.org/W1491611863","https://openalex.org/W1536860849","https://openalex.org/W1543136606","https://openalex.org/W1545042252","https://openalex.org/W1561908597","https://openalex.org/W1574901103","https://openalex.org/W1580638181","https://openalex.org/W1651093245","https://openalex.org/W1765912584","https://openalex.org/W1826790618","https://openalex.org/W1880262756","https://openalex.org/W1971220772","https://openalex.org/W1972418517","https://openalex.org/W1973094205","https://openalex.org/W1987996059","https://openalex.org/W2001082470","https://openalex.org/W2038585482","https://openalex.org/W2038721957","https://openalex.org/W2064988570","https://openalex.org/W2068687483","https://openalex.org/W2073187345","https://openalex.org/W2078514547","https://openalex.org/W2079656678","https://openalex.org/W2104215898","https://openalex.org/W2107034620","https://openalex.org/W2107743791","https://openalex.org/W2112247328","https://openalex.org/W2121401728","https://openalex.org/W2122098402","https://openalex.org/W2127218421","https://openalex.org/W2127306925","https://openalex.org/W2130337399","https://openalex.org/W2130681206","https://openalex.org/W2133517430","https://openalex.org/W2135909747","https://openalex.org/W2144211451","https://openalex.org/W2146934409","https://openalex.org/W2159681701","https://openalex.org/W2163953154","https://openalex.org/W2165612380","https://openalex.org/W2267760512","https://openalex.org/W2610517040","https://openalex.org/W2882319491","https://openalex.org/W4230797134","https://openalex.org/W4231510805","https://openalex.org/W4234917632","https://openalex.org/W4248343126","https://openalex.org/W6639619044","https://openalex.org/W6666915495"],"related_works":["https://openalex.org/W4365211920","https://openalex.org/W3014948380","https://openalex.org/W4380551139","https://openalex.org/W2280377497","https://openalex.org/W4387506531","https://openalex.org/W3174044702","https://openalex.org/W4238433571","https://openalex.org/W2967848559","https://openalex.org/W4283803360","https://openalex.org/W4317695495"],"abstract_inverted_index":{"In":[0,31],"the":[1,5,44,58,83,90,93,96,108,113,124,148,155,180,192,197],"last":[2],"10":[3],"years,":[4],"information":[6],"generated":[7],"on":[8,68,172],"weblog":[9,40],"sites":[10],"has":[11],"increased":[12],"exponentially,":[13],"resulting":[14],"in":[15,73,107,117,131,165,186],"a":[16,36,69,76,144],"clear":[17],"need":[18],"for":[19],"intelligent":[20],"approaches":[21],"to":[22,38,43,88,102,119,163],"analyse":[23],"and":[24,95,126,133,151,175,194],"organise":[25],"this":[26,32],"massive":[27],"amount":[28],"of":[29,82,92,123,139,154,161,196],"information.":[30],"work,":[33],"we":[34,50],"present":[35],"methodology":[37,59,86],"cluster":[39],"posts":[41],"according":[42],"topics":[45,105],"discus":[46],"sed":[47],"therein,":[48],"which":[49,65],"derive":[51],"by":[52],"text":[53],"analysis.":[54],"We":[55,110],"have":[56,111,127,142],"called":[57],"Prototype/Topic":[60],"Based":[61],"Clustering,":[62],"an":[63,159],"approach":[64,141],"is":[66,87,100],"based":[67],"generative":[70,97,114],"probabilistic":[71,98,115],"model":[72,99,116,125],"conjunction":[74],"with":[75,179],"Self-Term":[77,84],"Expansion":[78,85],"methodology.":[79],"The":[80,137,168],"usage":[81],"improve":[89],"representation":[91],"data":[94],"employed":[101],"identify":[103],"relevant":[104],"discussed":[106],"weblogs.":[109],"modified":[112],"order":[118],"exploit":[120],"predefined":[121],"initialisations":[122],"performed":[128,171],"our":[129,140,189],"experiments":[130,169],"narrow":[132,174],"wide":[134,176],"domain":[135,177],"subsets.":[136],"results":[138,190],"demonstrated":[143],"considerable":[145],"improvement":[146,160],"over":[147],"pre-defined":[149],"baseline":[150,193],"alternative":[152],"state":[153,195],"art":[156,198],"approaches,":[157],"achieving":[158],"up":[162],"20%":[164],"many":[166],"cases.":[167],"were":[170],"both":[173,187],"datasets,":[178],"latter":[181],"showing":[182],"better":[183],"improvement.":[184],"However":[185],"cases,":[188],"outperformed":[191],"algorithms.":[199]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}