{"id":"https://openalex.org/W2588407695","doi":"https://doi.org/10.1145/3011141.3011190","title":"Standard measure and SVM measure for feature selection and their performance effect for text classification","display_name":"Standard measure and SVM measure for feature selection and their performance effect for text classification","publication_year":2016,"publication_date":"2016-11-28","ids":{"openalex":"https://openalex.org/W2588407695","doi":"https://doi.org/10.1145/3011141.3011190","mag":"2588407695"},"language":"en","primary_location":{"id":"doi:10.1145/3011141.3011190","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3011141.3011190","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th International Conference on Information Integration and Web-based Applications and Services","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/A5035712153","display_name":"Yusuke Adachi","orcid":"https://orcid.org/0000-0002-4780-1804"},"institutions":[{"id":"https://openalex.org/I135598925","display_name":"Kyushu University","ror":"https://ror.org/00p4k0j84","country_code":"JP","type":"education","lineage":["https://openalex.org/I135598925"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yusuke Adachi","raw_affiliation_strings":["Kyushu University, Fukuoka, Japan"],"affiliations":[{"raw_affiliation_string":"Kyushu University, Fukuoka, Japan","institution_ids":["https://openalex.org/I135598925"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027665688","display_name":"Naoya Onimura","orcid":null},"institutions":[{"id":"https://openalex.org/I135598925","display_name":"Kyushu University","ror":"https://ror.org/00p4k0j84","country_code":"JP","type":"education","lineage":["https://openalex.org/I135598925"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Naoya Onimura","raw_affiliation_strings":["Kyushu University, Fukuoka, Japan"],"affiliations":[{"raw_affiliation_string":"Kyushu University, Fukuoka, Japan","institution_ids":["https://openalex.org/I135598925"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103211899","display_name":"Takanori Yamashita","orcid":"https://orcid.org/0000-0002-9127-3703"},"institutions":[{"id":"https://openalex.org/I135598925","display_name":"Kyushu University","ror":"https://ror.org/00p4k0j84","country_code":"JP","type":"education","lineage":["https://openalex.org/I135598925"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takanori Yamashita","raw_affiliation_strings":["Kyushu University, Fukuoka, Japan"],"affiliations":[{"raw_affiliation_string":"Kyushu University, Fukuoka, Japan","institution_ids":["https://openalex.org/I135598925"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006267512","display_name":"Sachio Hirokawa","orcid":"https://orcid.org/0000-0002-8050-1109"},"institutions":[{"id":"https://openalex.org/I135598925","display_name":"Kyushu University","ror":"https://ror.org/00p4k0j84","country_code":"JP","type":"education","lineage":["https://openalex.org/I135598925"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Sachio Hirokawa","raw_affiliation_strings":["Kyushu University, Fukuoka, Japan"],"affiliations":[{"raw_affiliation_string":"Kyushu University, Fukuoka, Japan","institution_ids":["https://openalex.org/I135598925"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5035712153"],"corresponding_institution_ids":["https://openalex.org/I135598925"],"apc_list":null,"apc_paid":null,"fwci":3.8563,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.94552536,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"262","last_page":"266"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9729999899864197,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9703999757766724,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.8206455707550049},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.8163290023803711},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7177212834358215},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.6913056373596191},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6703197956085205},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6440027952194214},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6352438926696777},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6242038011550903},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39312949776649475},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3486430048942566}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8206455707550049},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.8163290023803711},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7177212834358215},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.6913056373596191},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6703197956085205},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6440027952194214},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6352438926696777},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6242038011550903},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39312949776649475},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3486430048942566},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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":1,"locations":[{"id":"doi:10.1145/3011141.3011190","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3011141.3011190","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th International Conference on Information Integration and Web-based Applications and Services","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":23,"referenced_works":["https://openalex.org/W140312209","https://openalex.org/W1540550673","https://openalex.org/W1604792744","https://openalex.org/W1680392829","https://openalex.org/W1972640883","https://openalex.org/W1978394996","https://openalex.org/W1999635750","https://openalex.org/W2000569744","https://openalex.org/W2003258385","https://openalex.org/W2008890312","https://openalex.org/W2035720976","https://openalex.org/W2070771761","https://openalex.org/W2096152098","https://openalex.org/W2099111195","https://openalex.org/W2105218081","https://openalex.org/W2139451965","https://openalex.org/W2151595407","https://openalex.org/W2164946616","https://openalex.org/W2260771218","https://openalex.org/W2435251607","https://openalex.org/W2531563875","https://openalex.org/W3005526988","https://openalex.org/W4234200495"],"related_works":["https://openalex.org/W4255837520","https://openalex.org/W2090763504","https://openalex.org/W2387011115","https://openalex.org/W148178222","https://openalex.org/W2104657898","https://openalex.org/W1948992892","https://openalex.org/W1886884218","https://openalex.org/W4234808182","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"This":[0],"paper":[1],"compares":[2],"the":[3,22,38,43,52,68,86,91],"prediction":[4],"performance":[5,70,79],"of":[6,13,58,77,80,94,98],"document":[7],"classification":[8],"based":[9,41],"on":[10,42],"a":[11],"variety":[12],"feature":[14,29,39,82],"selection":[15,30,40,83],"measures.":[16],"Empirical":[17],"experiments":[18],"were":[19],"conducted":[20],"for":[21,28],"dataset":[23],"re0":[24],"with":[25,32,55,72],"10":[26],"measures":[27,54],"and":[31,48],"SVM.":[33],"It":[34],"is":[35,84],"confirmed":[36],"that":[37,85],"SVM-score":[44,87],"proposed":[45],"by":[46],"Sakai":[47],"Hirokawa":[49],"(2012)":[50],"outperforms":[51],"standard":[53],"small":[56],"number":[57],"features.":[59],"In":[60],"fact,":[61],"100":[62],"words":[63,93],"are":[64],"enough":[65],"to":[66],"get":[67],"similar":[69],"obtained":[71],"all":[73],"words.":[74],"The":[75],"reason":[76],"good":[78],"this":[81],"capture":[88],"not":[89],"only":[90],"characteristic":[92],"positive":[95],"samples":[96,100],"but":[97],"negative":[99],"as":[101],"well.":[102]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
