{"id":"https://openalex.org/W3109053436","doi":"https://doi.org/10.3233/faia200761","title":"Behavior Features for Automatic Detection of Depression from Facebook Users","display_name":"Behavior Features for Automatic Detection of Depression from Facebook Users","publication_year":2020,"publication_date":"2020-12-02","ids":{"openalex":"https://openalex.org/W3109053436","doi":"https://doi.org/10.3233/faia200761","mag":"3109053436"},"language":"en","primary_location":{"id":"doi:10.3233/faia200761","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia200761","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA200761","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA200761","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001824507","display_name":"Siranuch Hemtanon","orcid":null},"institutions":[{"id":"https://openalex.org/I96916377","display_name":"Walailak University","ror":"https://ror.org/04b69g067","country_code":"TH","type":"education","lineage":["https://openalex.org/I96916377"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Siranuch Hemtanon","raw_affiliation_strings":["School of Informatics, Walailak University, Nakorn Si Thammarat, 80160 Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Informatics, Walailak University, Nakorn Si Thammarat, 80160 Thailand","institution_ids":["https://openalex.org/I96916377"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070533731","display_name":"Saifon Aekwarangkoon","orcid":"https://orcid.org/0000-0001-5323-5362"},"institutions":[{"id":"https://openalex.org/I96916377","display_name":"Walailak University","ror":"https://ror.org/04b69g067","country_code":"TH","type":"education","lineage":["https://openalex.org/I96916377"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Saifon Aekwarangkoon","raw_affiliation_strings":["School of Nursing, Walailak University, Nakorn Si Thammarat, 80160 Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Nursing, Walailak University, Nakorn Si Thammarat, 80160 Thailand","institution_ids":["https://openalex.org/I96916377"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112586991","display_name":"Nichnan Kittphattanabawon","orcid":null},"institutions":[{"id":"https://openalex.org/I96916377","display_name":"Walailak University","ror":"https://ror.org/04b69g067","country_code":"TH","type":"education","lineage":["https://openalex.org/I96916377"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Nichnan Kittphattanabawon","raw_affiliation_strings":["School of Informatics, Walailak University, Nakorn Si Thammarat, 80160 Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Informatics, Walailak University, Nakorn Si Thammarat, 80160 Thailand","institution_ids":["https://openalex.org/I96916377"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I96916377"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2782389,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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/T12488","display_name":"Mental Health via Writing","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T12488","display_name":"Mental Health via Writing","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T11519","display_name":"Digital Mental Health Interventions","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/3202","display_name":"Applied Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13283","display_name":"Mental Health Research Topics","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive 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/depression","display_name":"Depression (economics)","score":0.6985560059547424},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5889867544174194},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5353479981422424},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4794920086860657},{"id":"https://openalex.org/keywords/major-depressive-disorder","display_name":"Major depressive disorder","score":0.45592665672302246},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.4442584216594696},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.415321409702301},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39245280623435974},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3924073278903961},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3089154064655304},{"id":"https://openalex.org/keywords/clinical-psychology","display_name":"Clinical psychology","score":0.3087496757507324}],"concepts":[{"id":"https://openalex.org/C2776867660","wikidata":"https://www.wikidata.org/wiki/Q1814941","display_name":"Depression (economics)","level":2,"score":0.6985560059547424},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5889867544174194},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5353479981422424},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4794920086860657},{"id":"https://openalex.org/C2780051608","wikidata":"https://www.wikidata.org/wiki/Q42844","display_name":"Major depressive disorder","level":3,"score":0.45592665672302246},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.4442584216594696},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.415321409702301},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39245280623435974},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3924073278903961},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3089154064655304},{"id":"https://openalex.org/C70410870","wikidata":"https://www.wikidata.org/wiki/Q199906","display_name":"Clinical psychology","level":1,"score":0.3087496757507324},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C2780733359","wikidata":"https://www.wikidata.org/wiki/Q331769","display_name":"Mood","level":2,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/faia200761","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia200761","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA200761","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.3233/faia200761","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia200761","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA200761","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3109053436.pdf","grobid_xml":"https://content.openalex.org/works/W3109053436.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W46663288","https://openalex.org/W78502752","https://openalex.org/W795398596","https://openalex.org/W982667389","https://openalex.org/W2129587854","https://openalex.org/W2610602442","https://openalex.org/W2749058815","https://openalex.org/W2780527627","https://openalex.org/W2790199850","https://openalex.org/W2790322417","https://openalex.org/W2889391310","https://openalex.org/W2913274674","https://openalex.org/W2978056124","https://openalex.org/W4285719527","https://openalex.org/W6622685072"],"related_works":["https://openalex.org/W4255837520","https://openalex.org/W2387011115","https://openalex.org/W4234808182","https://openalex.org/W4255628145","https://openalex.org/W2382043075","https://openalex.org/W2809151339","https://openalex.org/W2216913934","https://openalex.org/W2360673138","https://openalex.org/W2809370583","https://openalex.org/W4301447905"],"abstract_inverted_index":{"Major":[0],"depressive":[1,26,129],"disorder":[2,27],"is":[3,11,54],"one":[4],"of":[5,39,48,127,134,188],"common":[6],"mental":[7],"disorders":[8],"globally.":[9],"It":[10],"best":[12],"to":[13,24,42,56,83,105,147,154,214],"be":[14,84],"early":[15],"detected":[16],"and":[17,52,70,94,151,201,207],"cured.":[18],"This":[19],"work":[20],"introduces":[21],"a":[22,31,61,100,125],"method":[23],"detect":[25],"at":[28],"risk":[29,126],"via":[30],"behavior":[32],"made":[33],"on":[34,174],"Facebook":[35,43,137,178],"platform.":[36],"A":[37],"set":[38],"features":[40,114,172],"related":[41],"main":[44],"functions":[45],"including":[46],"amount":[47],"posting,":[49],"sharing,":[50],"commenting":[51],"replying":[53],"designed":[55,171],"represent":[57],"users\u2019":[58,175,199],"activities":[59,161,176],"in":[60,109,118,162,186],"numerical":[62],"value":[63],"form.":[64],"The":[65,165],"collected":[66,85],"data":[67,80,197],"with":[68,86,179],"periodic":[69],"consecutive":[71,149],"aspects":[72],"are":[73,81,116],"gathered":[74],"without":[75],"interpreting":[76],"content.":[77],"Thus,":[78],"the":[79,132,139,170,192,208],"easier":[82],"less":[87],"privacy":[88],"issue.":[89],"To":[90],"distinct":[91],"between":[92],"positive":[93],"negative":[95],"depression-at":[96],"risk,":[97],"PHQ-9":[98],"questionnaire,":[99],"standard":[101],"tool":[102],"commonly":[103],"used":[104,117],"screen":[106],"depression":[107],"patient":[108],"Thailand,":[110],"was":[111],"used.":[112],"These":[113],"hence":[115],"supervised":[119],"learning":[120,181],"classification":[121,166,211],"algorithm":[122,182],"for":[123,218],"detecting":[124],"being":[128],"disorder.":[130],"From":[131],"experiment":[133,167],"160":[135],"Thai":[136],"users,":[138],"statistical":[140],"result":[141],"indicated":[142],"that":[143,169],"depression-positive":[144],"users":[145],"tend":[146],"do":[148],"actions":[150],"rarely":[152],"reply":[153],"other":[155],"comments.":[156],"Moreover,":[157],"they":[158],"often":[159],"have":[160],"late":[163],"night.":[164],"shows":[168],"based":[173],"from":[177,210],"deep":[180],"yields":[183],"about":[184],"87%":[185],"terms":[187],"F-measure.":[189],"After":[190],"analyzing":[191],"data,":[193,206],"we":[194],"thus":[195],"split":[196],"regarding":[198],"gender":[200],"removed":[202],"obviously":[203],"low":[204],"active":[205],"F-measure":[209],"went":[212],"up":[213],"91.4":[215],"which":[216],"improves":[217],"4":[219],"points.":[220]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
