{"id":"https://openalex.org/W2913140604","doi":"https://doi.org/10.1109/la-cci.2018.8625211","title":"Documents Retrieval for Qualitative Research: Gender Discrimination Analysis","display_name":"Documents Retrieval for Qualitative Research: Gender Discrimination Analysis","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2913140604","doi":"https://doi.org/10.1109/la-cci.2018.8625211","mag":"2913140604"},"language":"en","primary_location":{"id":"doi:10.1109/la-cci.2018.8625211","doi":"https://doi.org/10.1109/la-cci.2018.8625211","is_oa":false,"landing_page_url":"https://doi.org/10.1109/la-cci.2018.8625211","pdf_url":null,"source":{"id":"https://openalex.org/S7407088689","display_name":"IEEE Latin American Conference on Computational Intelligence (LA-CCI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"2018 IEEE Latin American Conference on Computational Intelligence (LA-CCI)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5079761829","display_name":"Hugo Alatrista-Salas","orcid":"https://orcid.org/0000-0001-5252-4728","observed_orcids":["https://orcid.org/0000-0001-5252-4728"]},"institutions":[{"id":"https://openalex.org/I919628346","display_name":"University of the Pacific","ror":"https://ror.org/05mmg7t28","country_code":"PE","type":"education","lineage":["https://openalex.org/I919628346"]}],"countries":["PE"],"is_corresponding":false,"raw_author_name":"Hugo Alatrista-Salas","raw_affiliation_strings":["Universidad del Pac\u00edfico, Lima, Peru"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad del Pac\u00edfico, Lima, Peru","institution_ids":["https://openalex.org/I919628346"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004309161","display_name":"Pilar Hidalgo-Le\u00f3n","orcid":"https://orcid.org/0000-0003-2257-725X","observed_orcids":["https://orcid.org/0000-0003-2257-725X"]},"institutions":[{"id":"https://openalex.org/I919628346","display_name":"University of the Pacific","ror":"https://ror.org/05mmg7t28","country_code":"PE","type":"education","lineage":["https://openalex.org/I919628346"]}],"countries":["PE"],"is_corresponding":false,"raw_author_name":"Pilar Hidalgo-Leon","raw_affiliation_strings":["Universidad del Pac\u00edfico, Lima, Peru"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad del Pac\u00edfico, Lima, Peru","institution_ids":["https://openalex.org/I919628346"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043662826","display_name":"Miguel N\u00fa\u00f1ez-del-Prado","orcid":"https://orcid.org/0000-0001-7997-1739","observed_orcids":["https://orcid.org/0000-0001-7997-1739"]},"institutions":[{"id":"https://openalex.org/I919628346","display_name":"University of the Pacific","ror":"https://ror.org/05mmg7t28","country_code":"PE","type":"education","lineage":["https://openalex.org/I919628346"]}],"countries":["PE"],"is_corresponding":false,"raw_author_name":"Miguel Nunez-del-Prado","raw_affiliation_strings":["Universidad del Pac\u00edfico, Lima, Peru"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad del Pac\u00edfico, Lima, Peru","institution_ids":["https://openalex.org/I919628346"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I919628346"],"apc_list":null,"apc_paid":null,"fwci":1.1676,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.81565657,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":"242","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13910","display_name":"Computational and Text Analysis Methods","score":0.8070999979972839,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13910","display_name":"Computational and Text Analysis Methods","score":0.8070999979972839,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.0917000025510788,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.04280000180006027,"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/gender-discrimination","display_name":"gender discrimination","score":0.9919999837875366},{"id":"https://openalex.org/keywords/document-retrieval","display_name":"document retrieval","score":0.8809999823570251},{"id":"https://openalex.org/keywords/tf-idf","display_name":"TF-IDF","score":0.9010000228881836},{"id":"https://openalex.org/keywords/latent-semantic-analysis","display_name":"latent semantic analysis","score":0.652999997138977},{"id":"https://openalex.org/keywords/latent-dirichlet-allocation","display_name":"latent Dirichlet allocation","score":0.9990000128746033},{"id":"https://openalex.org/keywords/text-mining","display_name":"text mining","score":0.45899999141693115},{"id":"https://openalex.org/keywords/victim-testimony","display_name":"victim testimony","score":0.5849999785423279},{"id":"https://openalex.org/keywords/college-students","display_name":"university students","score":0.9359999895095825},{"id":"https://openalex.org/keywords/information-extraction","display_name":"information extraction","score":0.39100000262260437},{"id":"https://openalex.org/keywords/memory-efficiency","display_name":"memory efficiency","score":0.367000013589859}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7938095331192017},{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.7930012345314026},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6122555732727051},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.6005022525787354},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5972099304199219},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.544418215751648},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5375520586967468},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5187697410583496},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.483859658241272},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4636567234992981},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3621579110622406},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35703426599502563},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/la-cci.2018.8625211","doi":"https://doi.org/10.1109/la-cci.2018.8625211","is_oa":false,"landing_page_url":"https://doi.org/10.1109/la-cci.2018.8625211","pdf_url":null,"source":{"id":"https://openalex.org/S7407088689","display_name":"IEEE Latin American Conference on Computational Intelligence (LA-CCI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"2018 IEEE Latin American Conference on Computational Intelligence (LA-CCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7578999996185303,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"},{"score":0.75,"display_name":"Gender equality","id":"https://metadata.un.org/sdg/5"},{"score":0.5473999977111816,"display_name":"Peace, justice, and strong institutions","id":"https://metadata.un.org/sdg/16"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1572864254","https://openalex.org/W1589275176","https://openalex.org/W1880262756","https://openalex.org/W1965667542","https://openalex.org/W1966256426","https://openalex.org/W1995258314","https://openalex.org/W2083807144","https://openalex.org/W2144211451","https://openalex.org/W2157141579","https://openalex.org/W2158997610","https://openalex.org/W2405042511","https://openalex.org/W2613932856","https://openalex.org/W2771617414"],"related_works":["https://openalex.org/W4253921815","https://openalex.org/W7112619628","https://openalex.org/W2058077223","https://openalex.org/W2773203468","https://openalex.org/W6958288240","https://openalex.org/W7206350219","https://openalex.org/W2141772246","https://openalex.org/W2042114805","https://openalex.org/W6920530679","https://openalex.org/W4409081796"],"abstract_inverted_index":{"Gender":[0],"discrimination":[1,189],"is":[2,88,110,184],"an":[3],"act":[4],"of":[5,36,43,66,84,98,113,119,163,187],"exclusion":[6],"or":[7],"differential":[8],"treatment":[9],"towards":[10],"a":[11,41,62,141,161,167],"person":[12],"due":[13],"to":[14,27,30,58,75,115,123,137],"its":[15],"sex.":[16],"This":[17,127],"phenomenon":[18],"has":[19],"been":[20],"studied":[21],"in":[22,92,107,140,181,190,193],"qualitative":[23],"research":[24],"by":[25],"seeking":[26],"analyze":[28],"and":[29,34,73,94,122,155,165],"describe":[31],"the":[32,82,111,117,134],"reality":[33],"context":[35],"discrimination.":[37],"Qualitative":[38],"researchers":[39],"use":[40,112],"collection":[42],"documents":[44,56,139],"such":[45,100,149],"as":[46,101],"surveys,":[47],"interviews":[48],"among":[49],"another":[50],"source.":[51],"These":[52,68],"large":[53],"full":[54],"textual":[55],"tend":[57,74],"be":[59],"unstructured":[60],"from":[61],"Data":[63],"Science":[64],"point":[65],"view.":[67],"data":[69],"are":[70],"often":[71],"complex":[72],"show":[76,145],"similar":[77],"information":[78,87,120,179],"between":[79],"documents.":[80],"Nevertheless,":[81],"process":[83],"selecting":[85],"relevant":[86,96],"manual,":[89],"generating":[90],"difficulties":[91],"categorizing":[93],"analyzing":[95],"piece":[97],"information,":[99],"victim's":[102],"surveys.":[103],"The":[104,178],"main":[105],"reason":[106],"this":[108,182],"processing":[109],"tools":[114],"simplify":[116],"task":[118],"selection":[121],"perform":[124],"it":[125],"efficiently.":[126],"article":[128],"proposes":[129],"two":[130],"methods":[131,148],"based":[132],"on":[133,175],"TF-IDF":[135],"measure":[136],"search":[138],"corpus.":[142],"Our":[143],"findings":[144],"that":[146],"other":[147],"as,":[150],"LSA":[151],"(Latent":[152,157],"Semantics":[153],"Analysis)":[154],"LDA":[156],"Dirichlet":[158],"Allocation)":[159],"consume":[160],"lot":[162],"memory,":[164],"have":[166],"low":[168],"effectiveness":[169],"extracting":[170],"meaningful":[171],"words":[172],"than":[173],"relying":[174],"TD-IDF":[176],"only.":[177],"processed":[180],"case":[183],"about":[185],"testimonies":[186],"gender":[188],"university":[191],"students":[192],"Peru.":[194]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2019-02-21T00:00:00"}