{"id":"https://openalex.org/W1488022127","doi":"https://doi.org/10.1109/ijcnn.2005.1555892","title":"Text clustering with NTSO (neural text self organizer)","display_name":"Text clustering with NTSO (neural text self organizer)","publication_year":2006,"publication_date":"2006-01-05","ids":{"openalex":"https://openalex.org/W1488022127","doi":"https://doi.org/10.1109/ijcnn.2005.1555892","mag":"1488022127"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2005.1555892","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2005.1555892","pdf_url":null,"source":{"id":"https://openalex.org/S4363609022","display_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","raw_type":"proceedings-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/A5049496911","display_name":"Taeho Jo","orcid":"https://orcid.org/0000-0001-7448-9433"},"institutions":[{"id":"https://openalex.org/I9374425","display_name":"Ottawa University","ror":"https://ror.org/04jscf286","country_code":"US","type":"education","lineage":["https://openalex.org/I9374425"]},{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA","US"],"is_corresponding":true,"raw_author_name":"Taeho Jo","raw_affiliation_strings":["SITE (School of Information Technology and Engineering), University of Ottawa, Ottawa, ONT, Canada","Sch. of Information Technol. & Eng., Ottawa Univ., Ont., Canada#TAB#"],"affiliations":[{"raw_affiliation_string":"SITE (School of Information Technology and Engineering), University of Ottawa, Ottawa, ONT, Canada","institution_ids":["https://openalex.org/I153718931"]},{"raw_affiliation_string":"Sch. of Information Technol. & Eng., Ottawa Univ., Ont., Canada#TAB#","institution_ids":["https://openalex.org/I9374425"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018458084","display_name":"Nathalie Japkowicz","orcid":"https://orcid.org/0000-0003-1176-1617"},"institutions":[{"id":"https://openalex.org/I9374425","display_name":"Ottawa University","ror":"https://ror.org/04jscf286","country_code":"US","type":"education","lineage":["https://openalex.org/I9374425"]},{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA","US"],"is_corresponding":false,"raw_author_name":"N. Japkowicz","raw_affiliation_strings":["SITE (School of Information Technology and Engineering), University of Ottawa, Ottawa, ONT, Canada","Sch. of Information Technol. & Eng., Ottawa Univ., Ont., Canada#TAB#"],"affiliations":[{"raw_affiliation_string":"SITE (School of Information Technology and Engineering), University of Ottawa, Ottawa, ONT, Canada","institution_ids":["https://openalex.org/I153718931"]},{"raw_affiliation_string":"Sch. of Information Technol. & Eng., Ottawa Univ., Ont., Canada#TAB#","institution_ids":["https://openalex.org/I9374425"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5049496911"],"corresponding_institution_ids":["https://openalex.org/I153718931","https://openalex.org/I9374425"],"apc_list":null,"apc_paid":null,"fwci":1.2237,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.76594254,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"558","last_page":"563"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9940000176429749,"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/T10028","display_name":"Topic Modeling","score":0.9887999892234802,"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":0.7127623558044434},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6675393581390381},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6342973709106445},{"id":"https://openalex.org/keywords/adaptive-resonance-theory","display_name":"Adaptive resonance theory","score":0.6115672588348389},{"id":"https://openalex.org/keywords/string","display_name":"String (physics)","score":0.5964985489845276},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5885177850723267},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5218228697776794},{"id":"https://openalex.org/keywords/self-organizing-map","display_name":"Self-organizing map","score":0.48106837272644043},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.48044511675834656},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.477655291557312},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.42985376715660095},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2249264419078827}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7127623558044434},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6675393581390381},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6342973709106445},{"id":"https://openalex.org/C115755159","wikidata":"https://www.wikidata.org/wiki/Q352487","display_name":"Adaptive resonance theory","level":3,"score":0.6115672588348389},{"id":"https://openalex.org/C157486923","wikidata":"https://www.wikidata.org/wiki/Q1376436","display_name":"String (physics)","level":2,"score":0.5964985489845276},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5885177850723267},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5218228697776794},{"id":"https://openalex.org/C111168008","wikidata":"https://www.wikidata.org/wiki/Q1136838","display_name":"Self-organizing map","level":3,"score":0.48106837272644043},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.48044511675834656},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.477655291557312},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.42985376715660095},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2249264419078827},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2005.1555892","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2005.1555892","pdf_url":null,"source":{"id":"https://openalex.org/S4363609022","display_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W65738273","https://openalex.org/W1549887922","https://openalex.org/W1751470192","https://openalex.org/W2002485907","https://openalex.org/W2055247046","https://openalex.org/W2085302848","https://openalex.org/W2118020653","https://openalex.org/W2149684865","https://openalex.org/W2169384781","https://openalex.org/W6632852417","https://openalex.org/W6682304300"],"related_works":["https://openalex.org/W2966075558","https://openalex.org/W2278044631","https://openalex.org/W2034551444","https://openalex.org/W150043153","https://openalex.org/W1882504740","https://openalex.org/W2022423190","https://openalex.org/W821583771","https://openalex.org/W1518241128","https://openalex.org/W2482164254","https://openalex.org/W2038026250"],"abstract_inverted_index":{"Text":[0],"clustering":[1],"is":[2,32,75,91],"the":[3,81,121],"process":[4],"of":[5,10,44,59,105,120],"segmenting":[6],"a":[7,21,95,100],"particular":[8],"collection":[9],"texts":[11,106],"into":[12,107],"subgroups":[13],"including":[14],"content-based":[15],"similar":[16,76],"ones.":[17],"This":[18,37,124],"study":[19,125],"proposes":[20,126],"new":[22],"neural":[23,38,62,129],"network,":[24],"called":[25],"NTSO":[26],"(neural":[27],"text":[28,35,90,136],"self":[29],"organizer),":[30],"which":[31],"suitable":[33],"for":[34,135],"clustering.":[36],"network":[39,130],"uses":[40,132],"string":[41,96,133],"vectors":[42,46,50,54,109,134],"instead":[43],"numerical":[45,101,108],"as":[47,65],"its":[48,52,86],"input":[49],"and":[51,68,84,117],"weight":[53],"are":[55],"different":[56],"from":[57],"those":[58],"other":[60],"unsupervised":[61,128],"networks":[63,67,79],"such":[64],"Kohonen":[66,78],"ART":[69],"(adaptive":[70],"resonance":[71],"theory),":[72],"although":[73],"it":[74],"to":[77,111,138],"at":[80],"architecture":[82],"level":[83],"in":[85],"learning":[87],"process.":[88],"Intuitively,":[89],"better":[92],"represented":[93],"by":[94,99],"vector":[97],"than":[98],"vector.":[102],"The":[103],"representation":[104],"leads":[110],"two":[112],"main":[113],"problems:":[114],"sparse":[115],"distribution":[116],"huge":[118],"dimensionality":[119],"feature":[122],"vectors.":[123],"an":[127],"that":[131],"clustering,":[137],"address":[139],"these":[140],"problems.":[141]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
