{"id":"https://openalex.org/W4362496588","doi":"https://doi.org/10.1109/kst57286.2023.10086874","title":"Time and performance comparison on suicide detection using various feature engineering and machine learning models","display_name":"Time and performance comparison on suicide detection using various feature engineering and machine learning models","publication_year":2023,"publication_date":"2023-02-21","ids":{"openalex":"https://openalex.org/W4362496588","doi":"https://doi.org/10.1109/kst57286.2023.10086874"},"language":"en","primary_location":{"id":"doi:10.1109/kst57286.2023.10086874","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/kst57286.2023.10086874","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 15th International Conference on Knowledge and Smart Technology (KST)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5053702514","display_name":"Kittisak Thongsi","orcid":null},"institutions":[{"id":"https://openalex.org/I108108428","display_name":"Thammasat University","ror":"https://ror.org/002yp7f20","country_code":"TH","type":"education","lineage":["https://openalex.org/I108108428"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Kittisak Thongsi","raw_affiliation_strings":["Thammasat Univesity,Department of Data Science and Technology,Pathumthani,Thailand","Department of Data Science and Technology, Thammasat Univesity, Pathumthani, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Thammasat Univesity,Department of Data Science and Technology,Pathumthani,Thailand","institution_ids":["https://openalex.org/I108108428"]},{"raw_affiliation_string":"Department of Data Science and Technology, Thammasat Univesity, Pathumthani, Thailand","institution_ids":["https://openalex.org/I108108428"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055680184","display_name":"Nannaphas Booncherd","orcid":null},"institutions":[{"id":"https://openalex.org/I108108428","display_name":"Thammasat University","ror":"https://ror.org/002yp7f20","country_code":"TH","type":"education","lineage":["https://openalex.org/I108108428"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Nannaphas Booncherd","raw_affiliation_strings":["Thammasat Univesity,Department of Data Science and Technology,Pathumthani,Thailand","Department of Data Science and Technology, Thammasat Univesity, Pathumthani, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Thammasat Univesity,Department of Data Science and Technology,Pathumthani,Thailand","institution_ids":["https://openalex.org/I108108428"]},{"raw_affiliation_string":"Department of Data Science and Technology, Thammasat Univesity, Pathumthani, Thailand","institution_ids":["https://openalex.org/I108108428"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013324722","display_name":"Pokpong Songmuang","orcid":"https://orcid.org/0000-0002-4831-686X"},"institutions":[{"id":"https://openalex.org/I108108428","display_name":"Thammasat University","ror":"https://ror.org/002yp7f20","country_code":"TH","type":"education","lineage":["https://openalex.org/I108108428"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Pokpong Songmuang","raw_affiliation_strings":["Thammasat Univesity,Department of Computer Science,Pathumthani,Thailand","Department of Computer Science, Thammasat Univesity, Pathumthani, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Thammasat Univesity,Department of Computer Science,Pathumthani,Thailand","institution_ids":["https://openalex.org/I108108428"]},{"raw_affiliation_string":"Department of Computer Science, Thammasat Univesity, Pathumthani, Thailand","institution_ids":["https://openalex.org/I108108428"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I108108428"],"apc_list":null,"apc_paid":null,"fwci":0.2178,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.38539144,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"12","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9984999895095825,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9984999895095825,"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":0.9944000244140625,"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/T12488","display_name":"Mental Health via Writing","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/feature-engineering","display_name":"Feature engineering","score":0.8187416791915894},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7607556581497192},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6520187854766846},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6329269409179688},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6237186789512634},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6036763191223145},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.5584177374839783},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.5444227457046509},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5243511199951172},{"id":"https://openalex.org/keywords/emotion-detection","display_name":"Emotion detection","score":0.4804401099681854},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.46806421875953674},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.46796637773513794},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4555770456790924},{"id":"https://openalex.org/keywords/social-engineering","display_name":"Social engineering (security)","score":0.4315706193447113},{"id":"https://openalex.org/keywords/competition","display_name":"Competition (biology)","score":0.4231144189834595},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.1449149250984192},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.11190402507781982},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.10977548360824585}],"concepts":[{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.8187416791915894},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7607556581497192},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6520187854766846},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6329269409179688},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6237186789512634},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6036763191223145},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5584177374839783},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.5444227457046509},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5243511199951172},{"id":"https://openalex.org/C2988148770","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion detection","level":3,"score":0.4804401099681854},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.46806421875953674},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.46796637773513794},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4555770456790924},{"id":"https://openalex.org/C70118762","wikidata":"https://www.wikidata.org/wiki/Q376934","display_name":"Social engineering (security)","level":2,"score":0.4315706193447113},{"id":"https://openalex.org/C91306197","wikidata":"https://www.wikidata.org/wiki/Q45767","display_name":"Competition (biology)","level":2,"score":0.4231144189834595},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.1449149250984192},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.11190402507781982},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.10977548360824585},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/kst57286.2023.10086874","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/kst57286.2023.10086874","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 15th International Conference on Knowledge and Smart Technology (KST)","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":3,"referenced_works":["https://openalex.org/W3135440523","https://openalex.org/W4225419551","https://openalex.org/W6791871037"],"related_works":["https://openalex.org/W2548633793","https://openalex.org/W2941935829","https://openalex.org/W3089396779","https://openalex.org/W2596247554","https://openalex.org/W4301373556","https://openalex.org/W4321608592","https://openalex.org/W2146338426","https://openalex.org/W4319318901","https://openalex.org/W4385689139","https://openalex.org/W187383899"],"abstract_inverted_index":{"Today":[0],"more":[1],"people":[2],"use":[3,34,90,101],"social":[4,20],"media":[5,21],"to":[6,28,37,59],"express":[7],"their":[8,11],"opinion":[9],"and":[10,49,68,92,135,146],"emotions.":[12],"There":[13],"are":[14],"many":[15,47,50],"types":[16],"of":[17],"text":[18,23],"in":[19,116],"including":[22],"that":[24,63,74,128,132],"convey":[25],"a":[26,61,109],"tendency":[27],"be":[29],"depressed":[30],"or":[31],"suicidal.":[32],"We":[33,71,100],"sentiment":[35],"analysis":[36],"detect":[38],"suicidal":[39],"texts,":[40],"because":[41,111],"if":[42],"detected,":[43],"it":[44],"could":[45],"save":[46],"lives":[48],"families.":[51],"In":[52],"this":[53,112,117],"research,":[54],"we":[55,126],"have":[56,75],"an":[57],"objective":[58],"explore":[60],"method":[62],"is":[64,139],"both":[65],"high":[66],"performance":[67],"less":[69],"time-using.":[70],"design":[72],"experiments":[73,89],"30":[76],"combinations":[77],"between":[78],"five":[79],"machine":[80],"learning":[81],"models":[82],"with":[83,105,142,144],"six":[84],"feature":[85],"engineering":[86],"methods.":[87],"All":[88],"accuracy":[91,138],"total":[93],"time":[94],"for":[95],"model":[96],"generation":[97],"as":[98,108],"metrics.":[99],"deep":[102],"neural":[103],"networks":[104],"glove":[106],"embedding":[107],"comparator":[110],"combination":[113,131],"performed":[114],"well":[115],"dataset":[118],"on":[119],"Kaggle":[120],"competition.":[121],"From":[122],"the":[123,129],"experimental":[124],"results,":[125],"find":[127],"suitable":[130],"generates":[133],"fast":[134],"has":[136],"good":[137],"Random":[140],"Forest":[141],"TF-IDF":[143],"0.897":[145],"145":[147],"seconds.":[148]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}