{"id":"https://openalex.org/W2995010189","doi":"https://doi.org/10.1109/snpd.2019.8935711","title":"Ontology-Based Naive Bayes Short Text Classification Method for a Small Dataset","display_name":"Ontology-Based Naive Bayes Short Text Classification Method for a Small Dataset","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2995010189","doi":"https://doi.org/10.1109/snpd.2019.8935711","mag":"2995010189"},"language":"en","primary_location":{"id":"doi:10.1109/snpd.2019.8935711","is_oa":false,"landing_page_url":"https://doi.org/10.1109/snpd.2019.8935711","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 20th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","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/A5087669410","display_name":"Ketkaew Sangounpao","orcid":null},"institutions":[{"id":"https://openalex.org/I158708052","display_name":"Chulalongkorn University","ror":"https://ror.org/028wp3y58","country_code":"TH","type":"education","lineage":["https://openalex.org/I158708052"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Ketkaew Sangounpao","raw_affiliation_strings":["Department of Computer Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok, Thailand"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok, Thailand","institution_ids":["https://openalex.org/I158708052"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057671720","display_name":"Pornsiri Muenchaisri","orcid":"https://orcid.org/0000-0003-2164-8474"},"institutions":[{"id":"https://openalex.org/I158708052","display_name":"Chulalongkorn University","ror":"https://ror.org/028wp3y58","country_code":"TH","type":"education","lineage":["https://openalex.org/I158708052"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Pornsiri Muenchaisri","raw_affiliation_strings":["Department of Computer Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok, Thailand"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok, Thailand","institution_ids":["https://openalex.org/I158708052"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5087669410"],"corresponding_institution_ids":["https://openalex.org/I158708052"],"apc_list":null,"apc_paid":null,"fwci":0.28,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.67122312,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"53","last_page":"58"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9941999912261963,"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":0.9941999912261963,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9940000176429749,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9840999841690063,"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/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.7967493534088135},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7668852806091309},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7121889591217041},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6910886764526367},{"id":"https://openalex.org/keywords/ontology","display_name":"Ontology","score":0.5087190270423889},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.5056605339050293},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.471680223941803},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.46716392040252686},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4471552073955536},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4371260106563568},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4310973882675171},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4264848828315735},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3757156729698181},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35672566294670105},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11849892139434814}],"concepts":[{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.7967493534088135},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7668852806091309},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7121889591217041},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6910886764526367},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.5087190270423889},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.5056605339050293},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.471680223941803},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.46716392040252686},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4471552073955536},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4371260106563568},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4310973882675171},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4264848828315735},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3757156729698181},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35672566294670105},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11849892139434814},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/snpd.2019.8935711","is_oa":false,"landing_page_url":"https://doi.org/10.1109/snpd.2019.8935711","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 20th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.550000011920929,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W57814663","https://openalex.org/W990068694","https://openalex.org/W2011242591","https://openalex.org/W2025428542","https://openalex.org/W2053968437","https://openalex.org/W2063451214","https://openalex.org/W2106095291","https://openalex.org/W2171836785","https://openalex.org/W2261812172","https://openalex.org/W2291738576","https://openalex.org/W2758253540","https://openalex.org/W2888310236","https://openalex.org/W2968744947","https://openalex.org/W3099880460","https://openalex.org/W6696660851","https://openalex.org/W6767050217","https://openalex.org/W6826308931"],"related_works":["https://openalex.org/W1975069068","https://openalex.org/W3184437936","https://openalex.org/W2943026016","https://openalex.org/W2147451555","https://openalex.org/W2163063229","https://openalex.org/W2801134182","https://openalex.org/W1534635365","https://openalex.org/W1836331686","https://openalex.org/W1656942099","https://openalex.org/W2170511976","https://openalex.org/W2900766077","https://openalex.org/W2019618219","https://openalex.org/W2484912181","https://openalex.org/W2293544998","https://openalex.org/W2143894822","https://openalex.org/W1996767351","https://openalex.org/W2121772400","https://openalex.org/W2767435724","https://openalex.org/W1999337483","https://openalex.org/W2514856369"],"abstract_inverted_index":{"Content":[0],"less":[1],"than":[2,171],"two":[3],"hundred":[4,153],"words":[5],"like":[6],"comments":[7],"or":[8],"review":[9],"statements":[10],"is":[11,20,65,89,149],"known":[12],"as":[13],"a":[14,98,116],"short":[15,33,72,113],"text.":[16],"Short":[17],"text":[18,34,73,114],"classification":[19,35,70],"useful":[21],"for":[22,102,115,144],"automatically":[23],"categorizing":[24],"sentence":[25],"into":[26,83,119],"predefined":[27],"group.":[28],"There":[29,88],"are":[30,184],"several":[31],"traditional":[32],"methods":[36,68,183],"by":[37],"using":[38,151],"bag-of-words":[39,137],"with":[40,74,97,156],"k":[41],"nearest":[42],"neighbors":[43],"(k-NN),":[44],"Na\u00efve":[45],"Bayes,":[46],"Maximum":[47],"entropy,":[48],"support":[49],"vector":[50],"machines":[51],"(SVMs),":[52],"and":[53,59,85,138,158,181],"an":[54,103,109,133],"algorithm":[55],"based":[56],"on":[57,69,92,125],"statistics":[58],"rules.":[60],"The":[61,129,147,161],"deep":[62],"learning":[63],"method":[64,166,180],"outperformed":[66],"other":[67,182],"of":[71,77,94,122,154],"normal":[75],"size":[76],"dataset.":[78,146],"Some":[79],"researches":[80],"classify":[81,112,143,169],"requirements":[82,96,124],"functional":[84,95,123],"nonfunctional":[86],"requirements.":[87],"no":[90],"research":[91],"multi-classification":[93],"small":[99,117,145],"dataset":[100,118],"particularly":[101],"accounting":[104,127],"field.":[105],"This":[106],"paper":[107],"presents":[108],"approach":[110,131],"to":[111,135,142],"multiple":[120],"categories":[121],"the":[126,165,176],"domain.":[128],"proposed":[130],"uses":[132,139],"ontology":[134],"construct":[136],"Naive":[140,178],"Bayes":[141,179],"experiment":[148],"conducted":[150],"four":[152],"datasets":[155],"5folds":[157],"10-folds":[159],"cross-validation.":[160],"result":[162],"shows":[163],"that":[164],"can":[167],"correctly":[168],"more":[170],"80%.":[172],"Additionally,":[173],"comparisons":[174],"between":[175],"ontology-based":[177],"investigated.":[185]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}