{"id":"https://openalex.org/W2272809248","doi":null,"title":"Comparing support vector machine and multinomial naive Bayes for named entity classification of South African languages","display_name":"Comparing support vector machine and multinomial naive Bayes for named entity classification of South African languages","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2272809248","mag":"2272809248"},"language":"en","primary_location":{"id":"mag:2272809248","doi":null,"is_oa":false,"landing_page_url":"http://www.prasa.org/proceedings/2014/prasa2014-32.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5040411338","display_name":"Wildrich Fourie","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I27765905","display_name":"North-West University","ror":"https://ror.org/010f1sq29","country_code":"ZA","type":"education","lineage":["https://openalex.org/I27765905"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"Wildrich Fourie","raw_affiliation_strings":["North West  University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"North West  University","institution_ids":["https://openalex.org/I27765905"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110881571","display_name":"J.V. Du Toit","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"J.V. Du Toit","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5072430860","display_name":"Dirk P. Snyman","orcid":"https://orcid.org/0000-0001-7360-3214","observed_orcids":["https://orcid.org/0000-0001-7360-3214"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dirk Snyman","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-7360-3214","affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5957,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.72722054,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.7764000296592712,"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/T10028","display_name":"Topic Modeling","score":0.7764000296592712,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.06369999796152115,"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":0.060499999672174454,"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/named-entity-recognition","display_name":"named entity recognition","score":0.972000002861023},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"support vector machine","score":0.7450000047683716},{"id":"https://openalex.org/keywords/multinomial-naive-bayes","display_name":"multinomial naive Bayes","score":0.9990000128746033},{"id":"https://openalex.org/keywords/afrikaans","display_name":"Afrikaans","score":0.8880000114440918},{"id":"https://openalex.org/keywords/english-language","display_name":"English language","score":0.871999979019165},{"id":"https://openalex.org/keywords/south-african-languages","display_name":"South African languages","score":0.9610000252723694},{"id":"https://openalex.org/keywords/sensitive-personal-information","display_name":"sensitive personal data","score":0.746999979019165},{"id":"https://openalex.org/keywords/binary-classification","display_name":"binary classification","score":0.6330000162124634},{"id":"https://openalex.org/keywords/low-resource-languages","display_name":"low-resource languages","score":0.781000018119812},{"id":"https://openalex.org/keywords/multilingual-ner","display_name":"multilingual NER","score":0.6380000114440918},{"id":"https://openalex.org/keywords/cross-domain-evaluation","display_name":"cross-domain evaluation","score":0.7310000061988831}],"concepts":[{"id":"https://openalex.org/C192065140","wikidata":"https://www.wikidata.org/wiki/Q1147928","display_name":"Multinomial distribution","level":2,"score":0.838573694229126},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.7945516109466553},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7740168571472168},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.730302631855011},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.663018524646759},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6414655447006226},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.5898901224136353},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5494458675384521},{"id":"https://openalex.org/C125168437","wikidata":"https://www.wikidata.org/wiki/Q7625184","display_name":"Structured support vector machine","level":3,"score":0.46781492233276367},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4309542775154114},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.39051353931427},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16010987758636475},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08667105436325073},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2272809248","doi":null,"is_oa":false,"landing_page_url":"http://www.prasa.org/proceedings/2014/prasa2014-32.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W114352039","https://openalex.org/W349770100","https://openalex.org/W359028123","https://openalex.org/W627140926","https://openalex.org/W1512098439","https://openalex.org/W1536110090","https://openalex.org/W1550206324","https://openalex.org/W1579838312","https://openalex.org/W1663018970","https://openalex.org/W1846321791","https://openalex.org/W1982982698","https://openalex.org/W2020278455","https://openalex.org/W2068882115","https://openalex.org/W2070808142","https://openalex.org/W2087347434","https://openalex.org/W2108824863","https://openalex.org/W2120844411","https://openalex.org/W2133990480","https://openalex.org/W2144578941","https://openalex.org/W2157550000","https://openalex.org/W2160805010","https://openalex.org/W2182929382","https://openalex.org/W2187815040","https://openalex.org/W2405756341","https://openalex.org/W2794857613","https://openalex.org/W2797364761","https://openalex.org/W2920922824","https://openalex.org/W2963217253","https://openalex.org/W3004157836","https://openalex.org/W3147883177","https://openalex.org/W4239510810"],"related_works":["https://openalex.org/W7036491181","https://openalex.org/W2767077781","https://openalex.org/W1572701246","https://openalex.org/W2047503168","https://openalex.org/W2342636696","https://openalex.org/W7166332013","https://openalex.org/W2056515769","https://openalex.org/W7096757231","https://openalex.org/W147166030","https://openalex.org/W1967350923"],"abstract_inverted_index":{"In":[0],"this":[1,64],"study,":[2,65],"two":[3,24],"classical":[4],"machine":[5,129],"learning":[6],"algorithms,":[7],"multinomial":[8,133,138,164],"naive":[9,134,139,165],"Bayes":[10,135,140],"and":[11,29,42,97,122,148],"support":[12,127,167],"vector":[13,128,168],"machines,":[14],"are":[15],"compared":[16],"when":[17],"applied":[18],"to":[19,72,83,146,153],"named":[20,35,160],"entity":[21,36,161],"recognition":[22],"for":[23,94],"South":[25],"African":[26],"languages,":[27],"Afrikaans":[28],"English.":[30],"The":[31,137],"definition":[32],"of":[33,52,63,81,101],"a":[34],"was":[37,92,109],"based":[38],"on":[39],"previous":[40],"definitions":[41],"deliberations":[43],"in":[44,57,117],"literature":[45],"as":[46,48],"well":[47],"the":[49,61,66,78,85,95,98,102,112,126,132],"intended":[50],"purpose":[51,62],"classifying":[53],"sensitive":[54],"personal":[55],"information":[56],"textual":[58],"data.":[59],"For":[60],"best":[67],"algorithm":[68],"should":[69],"be":[70,150],"able":[71],"deliver":[73],"accurate":[74],"results":[75,116],"while":[76],"requiring":[77],"least":[79],"amount":[80],"time":[82,145],"train":[84,147],"classification":[86],"model.":[87],"A":[88],"binary":[89],"nominal":[90],"class":[91],"selected":[93],"classifiers":[96],"standard":[99],"implementation":[100],"algorithms":[103],"were":[104],"utilised;":[105],"no":[106],"parameter":[107],"optimisation":[108],"done.":[110],"All":[111],"models":[113,130],"achieved":[114],"remarkable":[115],"both":[118],"ten-fold":[119],"cross":[120],"validation":[121],"independent":[123],"evaluations":[124],"with":[125],"outperforming":[131],"models.":[136],"models,":[141],"however,":[142],"required":[143],"less":[144],"would":[149],"more":[151],"suited":[152],"low":[154],"resource":[155],"implementations.":[156],"Keywords\u2014binary":[157],"class;":[158],"cross-domain;":[159],"classification;":[162],"multilingual;":[163],"Bayes;":[166],"machines":[169]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2026-10-12T09:40:04.860316","created_date":"2016-06-24T00:00:00"}
