{"id":"https://openalex.org/W2999289852","doi":"https://doi.org/10.1145/3372938.3372956","title":"Text classification using Fuzzy TF-IDF and Machine Learning Models","display_name":"Text classification using Fuzzy TF-IDF and Machine Learning Models","publication_year":2019,"publication_date":"2019-10-23","ids":{"openalex":"https://openalex.org/W2999289852","doi":"https://doi.org/10.1145/3372938.3372956","mag":"2999289852"},"language":"en","primary_location":{"id":"doi:10.1145/3372938.3372956","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3372938.3372956","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International Conference on Big Data and Internet of Things","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/A5087131184","display_name":"Mariem Bounabi","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Mariem Bounabi","raw_affiliation_strings":["Computer sciences, Imaging and Numerical Analysis Laboratory (LIIAN), Fes, Morocco"],"affiliations":[{"raw_affiliation_string":"Computer sciences, Imaging and Numerical Analysis Laboratory (LIIAN), Fes, Morocco","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026538116","display_name":"Karim El Moutaouakil","orcid":"https://orcid.org/0000-0003-3922-5592"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Karim El Moutaouakil","raw_affiliation_strings":["Engineering Sciences Laboratory, FPT Taza, Morocco"],"affiliations":[{"raw_affiliation_string":"Engineering Sciences Laboratory, FPT Taza, Morocco","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052434186","display_name":"Khalid Satori","orcid":"https://orcid.org/0000-0001-6055-4169"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Khalid Satori","raw_affiliation_strings":["Computer sciences, Imaging and Numerical Analysis Laboratory (LIIAN), Fes, Morocco"],"affiliations":[{"raw_affiliation_string":"Computer sciences, Imaging and Numerical Analysis Laboratory (LIIAN), Fes, Morocco","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5087131184"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5402,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.8776531,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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/T11644","display_name":"Spam and Phishing Detection","score":0.9993000030517578,"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":0.9965999722480774,"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/tf\u2013idf","display_name":"tf\u2013idf","score":0.9120550751686096},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7166955471038818},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7157079577445984},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.701225996017456},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.6045441627502441},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5763102769851685},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5749117732048035},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4909651577472687},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.4591201841831207},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.4301258325576782},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.401466429233551},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36895817518234253}],"concepts":[{"id":"https://openalex.org/C81758059","wikidata":"https://www.wikidata.org/wiki/Q796584","display_name":"tf\u2013idf","level":3,"score":0.9120550751686096},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7166955471038818},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7157079577445984},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.701225996017456},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6045441627502441},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5763102769851685},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5749117732048035},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4909651577472687},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.4591201841831207},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.4301258325576782},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.401466429233551},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36895817518234253},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3372938.3372956","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3372938.3372956","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International Conference on Big Data and Internet of Things","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W129617118","https://openalex.org/W172260869","https://openalex.org/W1491319300","https://openalex.org/W1493526108","https://openalex.org/W1587718046","https://openalex.org/W1590762254","https://openalex.org/W1648885110","https://openalex.org/W1993934121","https://openalex.org/W2011663644","https://openalex.org/W2011762057","https://openalex.org/W2019618219","https://openalex.org/W2020316999","https://openalex.org/W2024932032","https://openalex.org/W2053017876","https://openalex.org/W2059586463","https://openalex.org/W2060305426","https://openalex.org/W2080184650","https://openalex.org/W2096335861","https://openalex.org/W2129250947","https://openalex.org/W2134090438","https://openalex.org/W2141599568","https://openalex.org/W2147152072","https://openalex.org/W2149684865","https://openalex.org/W2149706766","https://openalex.org/W2250539671","https://openalex.org/W2251803266","https://openalex.org/W2466376234","https://openalex.org/W2509219942","https://openalex.org/W2537091826","https://openalex.org/W2556064866","https://openalex.org/W2739605292","https://openalex.org/W2740297991","https://openalex.org/W2741969331","https://openalex.org/W2769474643","https://openalex.org/W2802787326","https://openalex.org/W2887641558","https://openalex.org/W2912246463","https://openalex.org/W2914336333","https://openalex.org/W2968903484","https://openalex.org/W4210955721","https://openalex.org/W4236137412","https://openalex.org/W6605291085","https://openalex.org/W6681574511","https://openalex.org/W6742292946"],"related_works":["https://openalex.org/W4367336074","https://openalex.org/W3154045278","https://openalex.org/W4379620016","https://openalex.org/W4393666307","https://openalex.org/W3210764983","https://openalex.org/W4393443811","https://openalex.org/W4367335949","https://openalex.org/W3089416646","https://openalex.org/W4396816114","https://openalex.org/W4380048833"],"abstract_inverted_index":{"The":[0,37,98],"representation":[1,42],"of":[2,46,88],"the":[3,10,20,23,29,33,44,47,54,81,86,89,102,108,115,120],"information":[4],"has":[5],"an":[6],"important":[7],"impact":[8],"on":[9,32,111],"text":[11,34],"classification":[12],"task.":[13],"Several":[14],"weighting":[15,117],"methods":[16],"were":[17],"proposed":[18],"in":[19],"literature,":[21],"and":[22,72,76,119],"term":[24,26],"frequency-inverse":[25],"frequency":[27],"(TFIDF),":[28],"most":[30],"know":[31],"treatment":[35],"field.":[36],"FTF-IDF":[38,82,116],"is":[39,105],"a":[40],"vector":[41],"where":[43,107],"components":[45],"TFIDF":[48],"are":[49],"presented":[50],"as":[51,69,128],"inputs":[52],"to":[53],"Fuzzy":[55],"Inference":[56],"System":[57],"(FIS).":[58],"In":[59],"this":[60],"work,":[61],"we":[62,92],"compare":[63],"several":[64],"Machin":[65],"Learning":[66],"algorithms":[67],"such":[68],"Na\u00efve":[70],"Bayes":[71,113],"its":[73],"derivatives,":[74],"SVM":[75],"Random":[77],"forest":[78],"classifiers,":[79,91],"using":[80],"representation.":[83],"To":[84],"improve":[85],"quality":[87],"used":[90],"call":[93],"sum":[94],"attribute":[95],"selection":[96],"methods.":[97],"recognition":[99],"rate,":[100],"for":[101],"tested":[103],"systems,":[104],"satisfied,":[106],"system":[109],"based":[110],"na\u00efve":[112],"classifier,":[114],"terms,":[118],"info":[121],"gain":[122],"select":[123],"attributes":[124],"method":[125],"gives":[126],"98.7%":[127],"accuracy.":[129]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
