{"id":"https://openalex.org/W4410986227","doi":"https://doi.org/10.1109/taffc.2025.3571749","title":"Detecting Signs of Depression Using Social Media Texts Through an Ensemble of Ensemble Classifiers","display_name":"Detecting Signs of Depression Using Social Media Texts Through an Ensemble of Ensemble Classifiers","publication_year":2025,"publication_date":"2025-06-03","ids":{"openalex":"https://openalex.org/W4410986227","doi":"https://doi.org/10.1109/taffc.2025.3571749"},"language":"en","primary_location":{"id":"doi:10.1109/taffc.2025.3571749","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taffc.2025.3571749","pdf_url":null,"source":{"id":"https://openalex.org/S104780363","display_name":"IEEE Transactions on Affective Computing","issn_l":"1949-3045","issn":["1949-3045","2371-9850"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Affective Computing","raw_type":"journal-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/A5117812822","display_name":"Raymond Chionga","orcid":null},"institutions":[{"id":"https://openalex.org/I4210116964","display_name":"New South Wales Institute of Psychiatry","ror":"https://ror.org/02fjxcw19","country_code":"AU","type":"education","lineage":["https://openalex.org/I4210116964"]},{"id":"https://openalex.org/I78757542","display_name":"University of Newcastle Australia","ror":"https://ror.org/00eae9z71","country_code":"AU","type":"education","lineage":["https://openalex.org/I78757542"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Raymond Chiong","raw_affiliation_strings":["School of Science and Technology, University of New England, Parramatta, NSW, Australia","School of Information & Physical Sciences, University of Newcastle, Callaghan, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0002-8285-1903","affiliations":[{"raw_affiliation_string":"School of Science and Technology, University of New England, Parramatta, NSW, Australia","institution_ids":["https://openalex.org/I4210116964"]},{"raw_affiliation_string":"School of Information & Physical Sciences, University of Newcastle, Callaghan, NSW, Australia","institution_ids":["https://openalex.org/I78757542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5117812823","display_name":"Gregorius Satia Budhib","orcid":null},"institutions":[{"id":"https://openalex.org/I114202661","display_name":"Petra Christian University","ror":"https://ror.org/045e97x26","country_code":"ID","type":"education","lineage":["https://openalex.org/I114202661"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Gregorius Satia Budhi","raw_affiliation_strings":["Informatics Department, Petra Christian University, Surabaya, Indonesia"],"raw_orcid":"https://orcid.org/0000-0002-1929-7399","affiliations":[{"raw_affiliation_string":"Informatics Department, Petra Christian University, Surabaya, Indonesia","institution_ids":["https://openalex.org/I114202661"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5117812824","display_name":"Erik Cambriac","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Erik Cambria","raw_affiliation_strings":["College of Computing and Data Science, Nanyang Technological University, Singapore","School of Computer Science and Engineering, Nanyang Technological University, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-3030-1280","affiliations":[{"raw_affiliation_string":"College of Computing and Data Science, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5117812822"],"corresponding_institution_ids":["https://openalex.org/I4210116964","https://openalex.org/I78757542"],"apc_list":null,"apc_paid":null,"fwci":8.6234,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.97473462,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"16","issue":"4","first_page":"2931","last_page":"2945"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12488","display_name":"Mental Health via Writing","score":0.9659000039100647,"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":0.9659000039100647,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9343000054359436,"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/ensemble-learning","display_name":"Ensemble learning","score":0.6868290901184082},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.6126537322998047},{"id":"https://openalex.org/keywords/depression","display_name":"Depression (economics)","score":0.5818219780921936},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5461108684539795},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4676961898803711},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.4605049788951874},{"id":"https://openalex.org/keywords/ensemble-forecasting","display_name":"Ensemble forecasting","score":0.45727139711380005},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44050782918930054},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1446276605129242}],"concepts":[{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.6868290901184082},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6126537322998047},{"id":"https://openalex.org/C2776867660","wikidata":"https://www.wikidata.org/wiki/Q1814941","display_name":"Depression (economics)","level":2,"score":0.5818219780921936},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5461108684539795},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4676961898803711},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.4605049788951874},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.45727139711380005},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44050782918930054},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1446276605129242},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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:10.1109/taffc.2025.3571749","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taffc.2025.3571749","pdf_url":null,"source":{"id":"https://openalex.org/S104780363","display_name":"IEEE Transactions on Affective Computing","issn_l":"1949-3045","issn":["1949-3045","2371-9850"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Affective Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1951245330","https://openalex.org/W1988790447","https://openalex.org/W2004695100","https://openalex.org/W2056403322","https://openalex.org/W2134387421","https://openalex.org/W2139031580","https://openalex.org/W2276520418","https://openalex.org/W2513923764","https://openalex.org/W2554367394","https://openalex.org/W2738291168","https://openalex.org/W2740966010","https://openalex.org/W2773200982","https://openalex.org/W2883872047","https://openalex.org/W2884299195","https://openalex.org/W2889097229","https://openalex.org/W2897993092","https://openalex.org/W2911964244","https://openalex.org/W2941902524","https://openalex.org/W2946396904","https://openalex.org/W2966930013","https://openalex.org/W2981984641","https://openalex.org/W2997591727","https://openalex.org/W3012362537","https://openalex.org/W3015779257","https://openalex.org/W3016847450","https://openalex.org/W3033318056","https://openalex.org/W3033913896","https://openalex.org/W3034126796","https://openalex.org/W3043553083","https://openalex.org/W3090066327","https://openalex.org/W3107925048","https://openalex.org/W3119075751","https://openalex.org/W3120963462","https://openalex.org/W3127757974","https://openalex.org/W3135439176","https://openalex.org/W3146246221","https://openalex.org/W3162632106","https://openalex.org/W3176528293","https://openalex.org/W3185479858","https://openalex.org/W3186609950","https://openalex.org/W4200341965","https://openalex.org/W4212883601","https://openalex.org/W4245880239","https://openalex.org/W4289656276","https://openalex.org/W4307169119","https://openalex.org/W4405897569"],"related_works":["https://openalex.org/W4376643315","https://openalex.org/W4324137541","https://openalex.org/W2900445707","https://openalex.org/W2891633941","https://openalex.org/W4285741730","https://openalex.org/W1191482210","https://openalex.org/W4285046548","https://openalex.org/W3202800081","https://openalex.org/W3101614107","https://openalex.org/W1909207154"],"abstract_inverted_index":{"Artificial":[0],"intelligence-based":[1],"machine":[2],"learning":[3],"models":[4,105],"have":[5],"been":[6],"widely":[7],"used":[8],"to":[9,30],"explore":[10],"and":[11,69],"address":[12],"various":[13],"mental":[14],"health-related":[15],"problems":[16],"in":[17,40,80,145,150,158,194],"recent":[18],"years,":[19],"including":[20,62],"depression.":[21,198],"In":[22],"this":[23],"study,":[24],"we":[25,38,139,175],"present":[26],"an":[27,134],"ensemble":[28,60,169,193],"approach":[29,166],"complement":[31],"the":[32,97,104,109,112,130,137,172,181,188,191],"90":[33],"unique":[34],"input":[35],"features":[36],"that":[37,141],"proposed":[39,52,192],"a":[41,81],"previous":[42],"study":[43],"on":[44,171],"depression":[45,149],"detection":[46],"using":[47,90,120],"social":[48,151,159],"media":[49,152,160],"texts.":[50],"Our":[51,165],"Ensemble":[53,55],"of":[54,86,93,114,148,183,190,197],"Classifiers":[56],"(EECs)":[57],"combines":[58],"many":[59],"models,":[61],"Bagging":[63],"Predictors,":[64],"Random":[65],"Forests,":[66],"Adaptive":[67],"Boosting":[68],"Gradient":[70],"Boosting,":[71],"as":[72,133,163],"inner":[73,76,116],"ensembles.":[74],"These":[75],"ensembles":[77,117],"are":[78,106,118,143],"arranged":[79],"parallel":[82],"fashion,":[83],"where":[84],"each":[85],"them":[87],"is":[88],"trained":[89],"different":[91],"subsets":[92],"data":[94,99],"sampled":[95],"from":[96],"training":[98],"via":[100],"bootstrap":[101],"sampling.":[102],"After":[103],"trained,":[107],"during":[108],"testing":[110],"phase,":[111],"results":[113],"all":[115],"processed":[119],"two":[121],"methods\u2014":[122],"majority":[123],"vote":[124],"or":[125],"class":[126],"priority":[127],"threshold\u2014to":[128],"get":[129],"final":[131],"result":[132],"output.":[135],"From":[136],"experiments,":[138],"find":[140],"EECs":[142,184],"accurate":[144],"detecting":[146,195],"signs":[147,196],"users":[153],"by":[154],"analysing":[155],"their":[156],"posts":[157],"platforms":[161],"such":[162],"Twitter.":[164],"outperforms":[167],"other":[168],"methods":[170],"public":[173],"datasets":[174],"used.":[176],"Moreover,":[177],"if":[178],"set":[179],"correctly,":[180],"parameters":[182],"can":[185],"further":[186],"improve":[187],"performance":[189]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2025-11-28T02:08:47.144824","created_date":"2025-06-04T00:00:00"}