{"id":"https://openalex.org/W2064363471","doi":"https://doi.org/10.1145/1166160.1166196","title":"NEWPAR","display_name":"NEWPAR","publication_year":2006,"publication_date":"2006-10-10","ids":{"openalex":"https://openalex.org/W2064363471","doi":"https://doi.org/10.1145/1166160.1166196","mag":"2064363471"},"language":"en","primary_location":{"id":"doi:10.1145/1166160.1166196","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1166160.1166196","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2006 ACM symposium on Document engineering","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/A5039288906","display_name":"Fernando Ruiz-Rico","orcid":null},"institutions":[{"id":"https://openalex.org/I130194489","display_name":"University of Alicante","ror":"https://ror.org/05t8bcz72","country_code":"ES","type":"education","lineage":["https://openalex.org/I130194489"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Fernando Ruiz-Rico","raw_affiliation_strings":["University of Alicante","University of Alicante,"],"affiliations":[{"raw_affiliation_string":"University of Alicante","institution_ids":["https://openalex.org/I130194489"]},{"raw_affiliation_string":"University of Alicante,","institution_ids":["https://openalex.org/I130194489"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103282450","display_name":"Jos\u00e9 Luis Vicedo Gonz\u00e1lez","orcid":"https://orcid.org/0000-0002-2120-0074"},"institutions":[{"id":"https://openalex.org/I130194489","display_name":"University of Alicante","ror":"https://ror.org/05t8bcz72","country_code":"ES","type":"education","lineage":["https://openalex.org/I130194489"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jose Luis Vicedo","raw_affiliation_strings":["University of Alicante","University of Alicante,"],"affiliations":[{"raw_affiliation_string":"University of Alicante","institution_ids":["https://openalex.org/I130194489"]},{"raw_affiliation_string":"University of Alicante,","institution_ids":["https://openalex.org/I130194489"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044752363","display_name":"Mar\u00eda-Consuelo Rubio-S\u00e1nchez","orcid":null},"institutions":[{"id":"https://openalex.org/I130194489","display_name":"University of Alicante","ror":"https://ror.org/05t8bcz72","country_code":"ES","type":"education","lineage":["https://openalex.org/I130194489"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Mar\u00eda-Consuelo Rubio-S\u00e1nchez","raw_affiliation_strings":["University of Alicante","University of Alicante,"],"affiliations":[{"raw_affiliation_string":"University of Alicante","institution_ids":["https://openalex.org/I130194489"]},{"raw_affiliation_string":"University of Alicante,","institution_ids":["https://openalex.org/I130194489"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5039288906"],"corresponding_institution_ids":["https://openalex.org/I130194489"],"apc_list":null,"apc_paid":null,"fwci":1.8626,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.87368847,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"128","last_page":"137"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9998999834060669,"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":0.9998999834060669,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9958000183105469,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9923999905586243,"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/weighting","display_name":"Weighting","score":0.7324819564819336},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7114300727844238},{"id":"https://openalex.org/keywords/text-categorization","display_name":"Text categorization","score":0.6052345633506775},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5663045644760132},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.544772744178772},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5178911685943604},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.49479979276657104},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.48910123109817505},{"id":"https://openalex.org/keywords/schema","display_name":"Schema (genetic algorithms)","score":0.4623369574546814},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4398025572299957},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4299689829349518},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4254632592201233},{"id":"https://openalex.org/keywords/noun","display_name":"Noun","score":0.42149415612220764},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.41388219594955444},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3941271901130676},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.38313788175582886},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38038328289985657},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37552130222320557}],"concepts":[{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.7324819564819336},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7114300727844238},{"id":"https://openalex.org/C2986744138","wikidata":"https://www.wikidata.org/wiki/Q302088","display_name":"Text categorization","level":3,"score":0.6052345633506775},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5663045644760132},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.544772744178772},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5178911685943604},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.49479979276657104},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.48910123109817505},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.4623369574546814},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4398025572299957},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4299689829349518},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4254632592201233},{"id":"https://openalex.org/C121934690","wikidata":"https://www.wikidata.org/wiki/Q1084","display_name":"Noun","level":2,"score":0.42149415612220764},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.41388219594955444},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3941271901130676},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.38313788175582886},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38038328289985657},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37552130222320557},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1166160.1166196","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1166160.1166196","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2006 ACM symposium on Document engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7300000190734863,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W46587594","https://openalex.org/W48554555","https://openalex.org/W94178392","https://openalex.org/W1555648035","https://openalex.org/W1567882785","https://openalex.org/W1751470192","https://openalex.org/W1941537533","https://openalex.org/W1978394996","https://openalex.org/W1983078185","https://openalex.org/W1983998816","https://openalex.org/W2000569744","https://openalex.org/W2023450550","https://openalex.org/W2065010255","https://openalex.org/W2082055836","https://openalex.org/W2085989833","https://openalex.org/W2094934653","https://openalex.org/W2103333826","https://openalex.org/W2107753812","https://openalex.org/W2114535528","https://openalex.org/W2118020653","https://openalex.org/W2141734078","https://openalex.org/W2149684865","https://openalex.org/W2153635508","https://openalex.org/W2165612380","https://openalex.org/W2435251607","https://openalex.org/W2999343259","https://openalex.org/W3005526988","https://openalex.org/W3120421331","https://openalex.org/W4234200495"],"related_works":["https://openalex.org/W2510961579","https://openalex.org/W2111353337","https://openalex.org/W2371357422","https://openalex.org/W2372663604","https://openalex.org/W1482708182","https://openalex.org/W2328484534","https://openalex.org/W1973637371","https://openalex.org/W2367691850","https://openalex.org/W3023878085","https://openalex.org/W2391234281"],"abstract_inverted_index":{"Category":[0],"ranking":[1],"provides":[2],"a":[3,11,21,74,113],"way":[4],"to":[5,19,36,81,92],"classify":[6],"plain":[7],"text":[8],"documents":[9,38],"into":[10,73],"pre-determined":[12],"set":[13],"of":[14,96,116,125],"categories.":[15],"This":[16],"work":[17],"proposes":[18],"have":[20],"look":[22],"at":[23],"typical":[24],"document":[25],"collections":[26],"and":[27,31,48,58,65,78,84,105,107,112,129],"analyze":[28],"which":[29],"measures":[30,67],"peculiarities":[32],"can":[33],"help":[34],"us":[35],"represent":[37],"so":[39],"that":[40],"the":[41,94,97,120,126],"resulting":[42],"features":[43],"are":[44,71,90],"as":[45,50,54],"much":[46],"discriminative":[47],"representative":[49],"possible.":[51],"Considerations":[52],"such":[53],"selecting":[55],"only":[56],"nouns":[57],"adjectives,":[59],"taking":[60],"expressions":[61],"rather":[62],"than":[63],"words,":[64],"using":[66],"like":[68],"term":[69],"length,":[70],"combined":[72],"simple":[75,114],"feature":[76],"selection":[77],"weighting":[79],"method":[80],"extract,":[82],"select":[83],"weight":[85],"especial":[86],"n-grams.":[87],"Several":[88],"experiments":[89],"performed":[91],"prove":[93],"usefulness":[95],"new":[98,121],"schema":[99],"with":[100],"different":[101,109],"data":[102],"sets":[103],"(Reuters":[104],"OHSUMED)":[106],"two":[108],"algorithms":[110],"(SVM":[111],"sum":[115],"weights).":[117],"After":[118],"evaluation,":[119],"approach":[122],"outperforms":[123],"some":[124],"best":[127],"known":[128],"most":[130],"widely":[131],"used":[132],"categorization":[133],"methods.":[134]},"counts_by_year":[{"year":2013,"cited_by_count":2}],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2016-06-24T00:00:00"}