{"id":"https://openalex.org/W4360618568","doi":"https://doi.org/10.1007/s12559-023-10132-9","title":"Prototype Theory Meets Word Embedding: A Novel Approach for Text Categorization via Granular Computing","display_name":"Prototype Theory Meets Word Embedding: A Novel Approach for Text Categorization via Granular Computing","publication_year":2023,"publication_date":"2023-03-23","ids":{"openalex":"https://openalex.org/W4360618568","doi":"https://doi.org/10.1007/s12559-023-10132-9"},"language":"en","primary_location":{"id":"doi:10.1007/s12559-023-10132-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s12559-023-10132-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s12559-023-10132-9.pdf","source":{"id":"https://openalex.org/S133078663","display_name":"Cognitive Computation","issn_l":"1866-9956","issn":["1866-9956","1866-9964"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cognitive Computation","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s12559-023-10132-9.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020616232","display_name":"Enrico De Santis","orcid":"https://orcid.org/0000-0003-4915-0723"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Enrico De Santis","raw_affiliation_strings":["University of Rome \u201cLa Sapienza\u201d, Via Eudossiana 18, 00184, Rome, Italy","University of Rome \"La Sapienza\", Via Eudossiana 18, 00184, Rome, Italy"],"raw_orcid":"https://orcid.org/0000-0003-4915-0723","affiliations":[{"raw_affiliation_string":"University of Rome \u201cLa Sapienza\u201d, Via Eudossiana 18, 00184, Rome, Italy","institution_ids":["https://openalex.org/I861853513"]},{"raw_affiliation_string":"University of Rome \"La Sapienza\", Via Eudossiana 18, 00184, Rome, Italy","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025282612","display_name":"Antonello Rizzi","orcid":null},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Antonello Rizzi","raw_affiliation_strings":["University of Rome \u201cLa Sapienza\u201d, Via Eudossiana 18, 00184, Rome, Italy","University of Rome \"La Sapienza\", Via Eudossiana 18, 00184, Rome, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Rome \u201cLa Sapienza\u201d, Via Eudossiana 18, 00184, Rome, Italy","institution_ids":["https://openalex.org/I861853513"]},{"raw_affiliation_string":"University of Rome \"La Sapienza\", Via Eudossiana 18, 00184, Rome, Italy","institution_ids":["https://openalex.org/I861853513"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5020616232"],"corresponding_institution_ids":["https://openalex.org/I861853513"],"apc_list":{"value":2190,"currency":"EUR","value_usd":2790},"apc_paid":{"value":2190,"currency":"EUR","value_usd":2790},"fwci":1.7391,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.86322309,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"15","issue":"3","first_page":"976","last_page":"997"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T13062","display_name":"Cognitive Computing and Networks","score":0.9883999824523926,"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/T11727","display_name":"Advanced Algebra and Logic","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.7470539212226868},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.598609209060669},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.5745761394500732},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5673163533210754},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5622816681861877},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.48568734526634216},{"id":"https://openalex.org/keywords/interpretation","display_name":"Interpretation (philosophy)","score":0.43470245599746704},{"id":"https://openalex.org/keywords/toolbox","display_name":"Toolbox","score":0.42824625968933105},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.42630061507225037},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.391483873128891},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3676309585571289},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.09517264366149902}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7470539212226868},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.598609209060669},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.5745761394500732},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5673163533210754},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5622816681861877},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.48568734526634216},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.43470245599746704},{"id":"https://openalex.org/C2777655017","wikidata":"https://www.wikidata.org/wiki/Q1501161","display_name":"Toolbox","level":2,"score":0.42824625968933105},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.42630061507225037},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.391483873128891},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3676309585571289},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.09517264366149902},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s12559-023-10132-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s12559-023-10132-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s12559-023-10132-9.pdf","source":{"id":"https://openalex.org/S133078663","display_name":"Cognitive Computation","issn_l":"1866-9956","issn":["1866-9956","1866-9964"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cognitive Computation","raw_type":"journal-article"},{"id":"pmh:oai:iris.uniroma1.it:11573/1679963","is_oa":true,"landing_page_url":"https://hdl.handle.net/11573/1679963","pdf_url":"https://iris.uniroma1.it/bitstream/11573/1679963/1/De%20Santi_Prototype%20Theory%20Meets%20Word%20Embedding_2023.pdf","source":{"id":"https://openalex.org/S4377196107","display_name":"IRIS Research product catalog (Sapienza University of Rome)","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1007/s12559-023-10132-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s12559-023-10132-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s12559-023-10132-9.pdf","source":{"id":"https://openalex.org/S133078663","display_name":"Cognitive Computation","issn_l":"1866-9956","issn":["1866-9956","1866-9964"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cognitive Computation","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6800000071525574,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4360618568.pdf"},"referenced_works_count":68,"referenced_works":["https://openalex.org/W57898250","https://openalex.org/W90286923","https://openalex.org/W1480708938","https://openalex.org/W1503434542","https://openalex.org/W1520765260","https://openalex.org/W1579403273","https://openalex.org/W1678092669","https://openalex.org/W1930624869","https://openalex.org/W1980867644","https://openalex.org/W1981617416","https://openalex.org/W1983578042","https://openalex.org/W2000966260","https://openalex.org/W2008874887","https://openalex.org/W2012399061","https://openalex.org/W2017618483","https://openalex.org/W2028684069","https://openalex.org/W2034489756","https://openalex.org/W2045830397","https://openalex.org/W2051752778","https://openalex.org/W2059429344","https://openalex.org/W2066247257","https://openalex.org/W2070589943","https://openalex.org/W2077200366","https://openalex.org/W2087148916","https://openalex.org/W2096061440","https://openalex.org/W2116261113","https://openalex.org/W2120779048","https://openalex.org/W2122343519","https://openalex.org/W2135107501","https://openalex.org/W2150593711","https://openalex.org/W2152057414","https://openalex.org/W2153676086","https://openalex.org/W2154500141","https://openalex.org/W2158698691","https://openalex.org/W2158997610","https://openalex.org/W2159465769","https://openalex.org/W2165612380","https://openalex.org/W2170505850","https://openalex.org/W2247349166","https://openalex.org/W2250189634","https://openalex.org/W2250539671","https://openalex.org/W2317663191","https://openalex.org/W2330858170","https://openalex.org/W2539989325","https://openalex.org/W2588213204","https://openalex.org/W2618694545","https://openalex.org/W2749449022","https://openalex.org/W2882319491","https://openalex.org/W2953343412","https://openalex.org/W2963754613","https://openalex.org/W3000436493","https://openalex.org/W3091571146","https://openalex.org/W3098781046","https://openalex.org/W3104310531","https://openalex.org/W3215186461","https://openalex.org/W4211020454","https://openalex.org/W4213308377","https://openalex.org/W4214702069","https://openalex.org/W4239187549","https://openalex.org/W4241027858","https://openalex.org/W4246139359","https://openalex.org/W4247050319","https://openalex.org/W4294214983","https://openalex.org/W4303981519","https://openalex.org/W4312960235","https://openalex.org/W6678417130","https://openalex.org/W6699011579","https://openalex.org/W6702248584"],"related_works":["https://openalex.org/W2068663075","https://openalex.org/W2978678743","https://openalex.org/W2797837731","https://openalex.org/W2150344375","https://openalex.org/W829257147","https://openalex.org/W3081389670","https://openalex.org/W4390832911","https://openalex.org/W4385302116","https://openalex.org/W2165912799","https://openalex.org/W3044929382"],"abstract_inverted_index":{"Abstract":[0],"The":[1,20],"problem":[2],"of":[3,46,51,58,83,98,151,224,247,256,265,298],"the":[4,13,84,91,102,131,152,171,175,229,245,268,286,299,314,319],"information":[5,116,257],"representation":[6,45,150],"and":[7,42,55,109,119,121,179,208,301,313],"interpretation":[8],"coming":[9],"from":[10,23,252],"senses":[11],"by":[12,68,140],"brain":[14],"has":[15],"plagued":[16],"scientists":[17],"for":[18,133,189,200,307],"decades.":[19],"same":[21],"problems,":[22],"a":[24,49,56,96,110,147,185,209,239,248,253,260,263,272,275,280,291,302,309],"different":[25],"perspective,":[26],"hold":[27],"in":[28,34,62,81,114,155,164,184,238],"automated":[29],"Pattern":[30],"Recognition":[31],"systems.":[32],"Specifically,":[33],"solving":[35,190],"various":[36],"NLP":[37],"tasks,":[38],"an":[39,105,156,215],"ever":[40],"better":[41],"richer":[43],"semantic":[44],"text":[47,59,135,153,165,192,276,293],"as":[48,78,262,271,279],"set":[50,255],"features":[52],"is":[53,117,125,277],"needed":[54],"plethora":[57],"embedding":[60,294,311],"techniques":[61],"algebraic":[63,157],"spaces":[64,71,80],"are":[65,72,182,242,305],"continuously":[66],"provided":[67],"researchers.":[69],"These":[70],"well":[73],"suited":[74,199],"to":[75,219,324],"be":[76,138],"conceived":[77],"conceptual":[79,287,320],"light":[82],"G\u00e4rdenfors\u2019s":[85],"Conceptual":[86,172],"Space":[87,173],"theory,":[88],"which,":[89],"within":[90,285],"Cognitive":[92],"Science":[93],"paradigm,":[94],"seeks":[95],"geometrization":[97],"thought":[99],"that":[100,136],"bridges":[101],"gap":[103],"between":[104],"associative":[106],"lower":[107],"level":[108,113,321],"symbolic":[111,249],"higher":[112],"which":[115],"organized":[118],"processed":[120],"where":[122,236],"inductive":[123],"reasoning":[124],"appropriate.":[126],"Granular":[127,176],"Computing":[128,177],"can":[129,137],"offer":[130],"toolbox":[132],"granulating":[134],"represented":[139,278],"more":[141,232],"abstract":[142,233],"entities":[143,234],"than":[144],"words,":[145],"offering":[146],"good":[148],"hierarchical":[149],"embedded":[154],"space":[158,288],"driving":[159],"Machine":[160,180],"Learning":[161,181],"applications,":[162],"specifically,":[163],"mining":[166],"tasks.":[167],"In":[168],"this":[169],"paper,":[170],"Theory,":[174],"approach":[178],"bound":[183],"novel":[186],"common":[187],"framework":[188],"some":[191],"categorization":[193],"tasks":[194],"with":[195,202,221,226],"both":[196,308],"standard":[197],"classifiers":[198],"working":[201,225],"$$\\mathbb":[203],"{R}^n$$":[204],"<mml:math":[205],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"><mml:msup><mml:mrow><mml:mi>R</mml:mi></mml:mrow><mml:mi>n</mml:mi></mml:msup></mml:math>":[206],"vectors":[207],"Recurrent":[210],"Neural":[211],"Network":[212],"(RNN)":[213],"\u2014":[214,217],"LSTM":[216],"able":[218],"deal":[220],"sequences.":[222],"Instead":[223],"word":[227],"vectors,":[228],"algorithms":[230],"process":[231],"(concepts),":[235],"patterns,":[237],"first":[240],"approach,":[241],"obtained":[243],"through":[244],"construction":[246],"histogram":[250],"starting":[251],"suitable":[254,292],"granules,":[258],"representing":[259],"document":[261],"distribution":[264],"concepts.":[266],"For":[267],"RNN":[269],"case,":[270],"further":[273],"novelty,":[274],"random":[281],"walk":[282],"over":[283,290],"prototypes":[284],"synthesized":[289],"procedure.":[295],"A":[296],"comparison":[297],"performance":[300],"critical":[303],"discussion":[304],"offered":[306],"neural":[310],"technique":[312],"well-known":[315],"LSA,":[316],"showing":[317],"how":[318],"leads":[322],"also":[323],"Knowledge":[325],"Discovery":[326],"applications.":[327]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
