{"id":"https://openalex.org/W1987783542","doi":"https://doi.org/10.1109/aiccsa.2013.6616437","title":"A hybrid BSO-Chi2-SVM approach to Arabic text categorization","display_name":"A hybrid BSO-Chi2-SVM approach to Arabic text categorization","publication_year":2013,"publication_date":"2013-05-01","ids":{"openalex":"https://openalex.org/W1987783542","doi":"https://doi.org/10.1109/aiccsa.2013.6616437","mag":"1987783542"},"language":"en","primary_location":{"id":"doi:10.1109/aiccsa.2013.6616437","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aiccsa.2013.6616437","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 ACS International Conference on Computer Systems and Applications (AICCSA)","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/A5023428314","display_name":"Riadh Belkebir","orcid":"https://orcid.org/0000-0002-3067-8774"},"institutions":[{"id":"https://openalex.org/I157169809","display_name":"University of Sciences and Technology Houari Boumediene","ror":"https://ror.org/02kb89c09","country_code":"DZ","type":"education","lineage":["https://openalex.org/I157169809"]}],"countries":["DZ"],"is_corresponding":true,"raw_author_name":"Riadh Belkebir","raw_affiliation_strings":["Computer Science department, Laboratory of research in Artificial Intelligence, University of Science and Technology Houari Boumediene, Algiers, Algeria","Comput. Sci. Dept., USTHB, El-Alia Bab-Ezzouar, Algeria"],"affiliations":[{"raw_affiliation_string":"Computer Science department, Laboratory of research in Artificial Intelligence, University of Science and Technology Houari Boumediene, Algiers, Algeria","institution_ids":["https://openalex.org/I157169809"]},{"raw_affiliation_string":"Comput. Sci. Dept., USTHB, El-Alia Bab-Ezzouar, Algeria","institution_ids":["https://openalex.org/I157169809"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036200309","display_name":"Ahmed Guessoum","orcid":"https://orcid.org/0000-0003-3876-5204"},"institutions":[{"id":"https://openalex.org/I157169809","display_name":"University of Sciences and Technology Houari Boumediene","ror":"https://ror.org/02kb89c09","country_code":"DZ","type":"education","lineage":["https://openalex.org/I157169809"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Ahmed Guessoum","raw_affiliation_strings":["Computer Science department, Laboratory of research in Artificial Intelligence, University of Science and Technology Houari Boumediene, Algiers, Algeria","Comput. Sci. Dept., USTHB, El-Alia Bab-Ezzouar, Algeria"],"affiliations":[{"raw_affiliation_string":"Computer Science department, Laboratory of research in Artificial Intelligence, University of Science and Technology Houari Boumediene, Algiers, Algeria","institution_ids":["https://openalex.org/I157169809"]},{"raw_affiliation_string":"Comput. Sci. Dept., USTHB, El-Alia Bab-Ezzouar, Algeria","institution_ids":["https://openalex.org/I157169809"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5023428314"],"corresponding_institution_ids":["https://openalex.org/I157169809"],"apc_list":null,"apc_paid":null,"fwci":3.3663,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.92331859,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9990000128746033,"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":0.9921000003814697,"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/computer-science","display_name":"Computer science","score":0.8153462409973145},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.7971461415290833},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7852959036827087},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6859085559844971},{"id":"https://openalex.org/keywords/text-categorization","display_name":"Text categorization","score":0.6722871661186218},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5817779302597046},{"id":"https://openalex.org/keywords/arabic","display_name":"Arabic","score":0.5499038100242615},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5319201350212097},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40180355310440063},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3580612540245056}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8153462409973145},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.7971461415290833},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7852959036827087},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6859085559844971},{"id":"https://openalex.org/C2986744138","wikidata":"https://www.wikidata.org/wiki/Q302088","display_name":"Text categorization","level":3,"score":0.6722871661186218},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5817779302597046},{"id":"https://openalex.org/C96455323","wikidata":"https://www.wikidata.org/wiki/Q13955","display_name":"Arabic","level":2,"score":0.5499038100242615},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5319201350212097},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40180355310440063},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3580612540245056},{"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},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aiccsa.2013.6616437","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aiccsa.2013.6616437","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 ACS International Conference on Computer Systems and Applications (AICCSA)","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":32,"referenced_works":["https://openalex.org/W179850243","https://openalex.org/W196871588","https://openalex.org/W227120104","https://openalex.org/W1493036841","https://openalex.org/W1524216132","https://openalex.org/W1533946607","https://openalex.org/W1540550673","https://openalex.org/W1564518192","https://openalex.org/W1572163287","https://openalex.org/W1604792744","https://openalex.org/W2005422315","https://openalex.org/W2020316999","https://openalex.org/W2037699108","https://openalex.org/W2044259175","https://openalex.org/W2049992327","https://openalex.org/W2077679384","https://openalex.org/W2100467710","https://openalex.org/W2114535528","https://openalex.org/W2114750518","https://openalex.org/W2118020653","https://openalex.org/W2126972628","https://openalex.org/W2149684865","https://openalex.org/W2156909104","https://openalex.org/W2170654002","https://openalex.org/W2435251607","https://openalex.org/W6607331989","https://openalex.org/W6631389943","https://openalex.org/W6632118081","https://openalex.org/W6634394509","https://openalex.org/W6669740554","https://openalex.org/W6678969280","https://openalex.org/W6717827561"],"related_works":["https://openalex.org/W2360898036","https://openalex.org/W2390857744","https://openalex.org/W2133651098","https://openalex.org/W2390698788","https://openalex.org/W2125109223","https://openalex.org/W2383063829","https://openalex.org/W2138922887","https://openalex.org/W2082678934","https://openalex.org/W2035261173","https://openalex.org/W2106892947"],"abstract_inverted_index":{"Automatic":[0,21,51],"categorization":[1,22,52,94],"of":[2,14,17,23,45,63,70,78,91,120,128],"documents":[3,18,24],"has":[4],"become":[5],"an":[6],"important":[7],"task,":[8],"especially":[9],"with":[10,48],"the":[11,15,35,43,61,66,74,89,114,118,121,143],"rapid":[12],"growth":[13],"number":[16],"available":[19],"online.":[20],"consists":[25],"in":[26,137],"assigning":[27],"a":[28,31,46,49,64,108],"category":[29],"to":[30,41,80],"text":[32,93],"based":[33,95],"on":[34,96,142],"information":[36],"it":[37],"contains.":[38],"It":[39],"aims":[40],"automate":[42],"association":[44],"document":[47],"category.":[50],"can":[53],"allow":[54],"solving":[55],"several":[56],"problems":[57],"such":[58],"as":[59],"identifying":[60],"language":[62],"document,":[65],"filtering":[67],"and":[68,76,107,116,123,132],"detection":[69],"spam":[71],"(junk":[72],"mail),":[73],"routing":[75],"forwarding":[77],"emails":[79],"their":[81],"recipients,":[82],"etc.":[83],"In":[84],"this":[85],"paper,":[86],"we":[87],"present":[88,117],"results":[90,119],"Arabic":[92,146],"three":[97],"different":[98,150],"approaches:":[99],"artificial":[100],"neural":[101],"networks,":[102],"support":[103],"vector":[104],"machines":[105],"(SVMs)":[106],"hybrid":[109],"approach":[110,115],"BSO-CHI-SVM.":[111],"We":[112],"explain":[113],"implementation":[122],"evaluation":[124,136],"using":[125,149],"two":[126],"types":[127],"representations:":[129],"root-based":[130],"stemming":[131],"light":[133],"stemming.":[134],"The":[135],"each":[138],"case":[139],"was":[140],"done":[141],"Open":[144],"Source":[145],"Corpora":[147],"(OSAC)":[148],"performance":[151],"measures.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}