{"id":"https://openalex.org/W3108208113","doi":"https://doi.org/10.1142/s0219649220500392","title":"Text Categorisation Through Dimensionality Reduction Using Wavelet Transform","display_name":"Text Categorisation Through Dimensionality Reduction Using Wavelet Transform","publication_year":2020,"publication_date":"2020-11-27","ids":{"openalex":"https://openalex.org/W3108208113","doi":"https://doi.org/10.1142/s0219649220500392","mag":"3108208113"},"language":"en","primary_location":{"id":"doi:10.1142/s0219649220500392","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219649220500392","pdf_url":null,"source":{"id":"https://openalex.org/S30163770","display_name":"Journal of Information & Knowledge Management","issn_l":"0219-6492","issn":["0219-6492","1793-6926"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Information &amp; Knowledge Management","raw_type":"journal-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/A5088736547","display_name":"Jorge Chamorro-Padial","orcid":"https://orcid.org/0000-0002-6334-3786"},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Jorge Chamorro-Padial","raw_affiliation_strings":["Departamento de Ciencias de la Computaci\u00f3n e Inteligencia Artificial, CITIC-UGR Universidad de Granada, 18071 Granada, Spain"],"affiliations":[{"raw_affiliation_string":"Departamento de Ciencias de la Computaci\u00f3n e Inteligencia Artificial, CITIC-UGR Universidad de Granada, 18071 Granada, Spain","institution_ids":["https://openalex.org/I173304897"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040538027","display_name":"Rosa Rodr\u00edguez\u2010S\u00e1nchez","orcid":"https://orcid.org/0000-0001-7886-9329"},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Rosa Rodr\u00edguez-S\u00e1nchez","raw_affiliation_strings":["Departamento de Ciencias de la Computaci\u00f3n e Inteligencia Artificial, CITIC-UGR Universidad de Granada, 18071 Granada, Spain"],"affiliations":[{"raw_affiliation_string":"Departamento de Ciencias de la Computaci\u00f3n e Inteligencia Artificial, CITIC-UGR Universidad de Granada, 18071 Granada, Spain","institution_ids":["https://openalex.org/I173304897"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5088736547"],"corresponding_institution_ids":["https://openalex.org/I173304897"],"apc_list":null,"apc_paid":null,"fwci":0.2651,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.64495227,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"19","issue":"04","first_page":"2050039","last_page":"2050039"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.995199978351593,"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":0.995199978351593,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9778000116348267,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.9599000215530396,"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/wavelet","display_name":"Wavelet","score":0.7220650315284729},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.6364709138870239},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.62549889087677},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.612986147403717},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.567107081413269},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5433550477027893},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.5121839046478271},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5042432546615601},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.48447299003601074},{"id":"https://openalex.org/keywords/diagonal","display_name":"Diagonal","score":0.47404977679252625},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4489535391330719},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.4459201693534851},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3304039239883423},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3152458071708679},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.21695476770401},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.11161059141159058},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.10286262631416321}],"concepts":[{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.7220650315284729},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.6364709138870239},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.62549889087677},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.612986147403717},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.567107081413269},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5433550477027893},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.5121839046478271},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5042432546615601},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.48447299003601074},{"id":"https://openalex.org/C130367717","wikidata":"https://www.wikidata.org/wiki/Q189791","display_name":"Diagonal","level":2,"score":0.47404977679252625},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4489535391330719},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4459201693534851},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3304039239883423},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3152458071708679},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.21695476770401},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.11161059141159058},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.10286262631416321},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1142/s0219649220500392","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219649220500392","pdf_url":null,"source":{"id":"https://openalex.org/S30163770","display_name":"Journal of Information & Knowledge Management","issn_l":"0219-6492","issn":["0219-6492","1793-6926"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Information &amp; Knowledge Management","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:wsi:jikmxx:v:19:y:2020:i:04:n:s0219649220500392","is_oa":false,"landing_page_url":"http://www.worldscientific.com/doi/abs/10.1142/S0219649220500392","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6800000071525574,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1574901103","https://openalex.org/W1880262756","https://openalex.org/W1985258161","https://openalex.org/W2049040426","https://openalex.org/W2085938017","https://openalex.org/W2131047513","https://openalex.org/W2152311353","https://openalex.org/W2603826157","https://openalex.org/W2803393527","https://openalex.org/W2998388915","https://openalex.org/W4200411312","https://openalex.org/W4232401394","https://openalex.org/W4240725033","https://openalex.org/W4245049592","https://openalex.org/W4246377848"],"related_works":["https://openalex.org/W3133411644","https://openalex.org/W2541950815","https://openalex.org/W3110687914","https://openalex.org/W3017161237","https://openalex.org/W2082691086","https://openalex.org/W2095834362","https://openalex.org/W3211035526","https://openalex.org/W3106912526","https://openalex.org/W2016818632","https://openalex.org/W2140879441"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,51,68,90,113,147],"new":[4,141],"method":[5],"of":[6,116,131,151],"dimensionality":[7],"reduction":[8],"when":[9],"performing":[10],"Text":[11],"Classification,":[12],"by":[13,29],"applying":[14],"the":[15,20,26,30,34,43,60,74,82,101,117,124,129,132,137,140],"discrete":[16],"wavelet":[17,31,102],"transform":[18],"to":[19,47,64,86,94],"document-term":[21],"frequencies":[22],"matrix.":[23],"We":[24],"analyse":[25],"features":[27],"provided":[28],"coefficients":[32,41,58,80,103],"from":[33],"different":[35],"orientations:":[36],"(1)":[37],"The":[38,55,77],"high":[39,56,78],"energy":[40,57,79],"in":[42,50,59,81,89,92,123],"horizontal":[44],"orientation":[45,62,84],"correspond":[46,63,85],"relevant":[48,65,87,149],"terms":[49,66,88],"single":[52,69],"document.":[53],"(2)":[54],"vertical":[61],"for":[67,73,153],"document,":[70],"but":[71],"not":[72],"others.":[75],"(3)":[76],"diagonal":[83],"document":[91,154],"comparison":[93],"other":[95],"terms.":[96],"If":[97],"we":[98,110,135,145],"filter":[99],"using":[100],"and":[104,144],"fulfil":[105],"these":[106],"three":[107],"conditions":[108],"simultaneously,":[109],"can":[111],"obtain":[112],"reduced":[114,133,142],"vocabulary":[115,143],"corpus,":[118],"with":[119,139],"less":[120],"dimensions":[121],"than":[122],"original":[125],"one.":[126],"To":[127],"test":[128],"success":[130],"vocabulary,":[134],"recoded":[136],"corpus":[138],"obtained":[146],"statistically":[148],"level":[150],"accuracy":[152],"classification.":[155]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
