{"id":"https://openalex.org/W3111353424","doi":"https://doi.org/10.1145/3421515.3421516","title":"Text-based Decision Fusion Model for Detecting Depression","display_name":"Text-based Decision Fusion Model for Detecting Depression","publication_year":2020,"publication_date":"2020-07-11","ids":{"openalex":"https://openalex.org/W3111353424","doi":"https://doi.org/10.1145/3421515.3421516","mag":"3111353424"},"language":"en","primary_location":{"id":"doi:10.1145/3421515.3421516","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3421515.3421516","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 2nd Symposium on Signal Processing Systems","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/A5100459689","display_name":"Yufeng Zhang","orcid":"https://orcid.org/0000-0002-7089-3831"},"institutions":[{"id":"https://openalex.org/I183519381","display_name":"Capital Medical University","ror":"https://ror.org/013xs5b60","country_code":"CN","type":"education","lineage":["https://openalex.org/I183519381"]},{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yufeng Zhang","raw_affiliation_strings":["Advanced Innovation Center for Human Brain Protection Capital Medical University Beijing 100054 China and Beijing University of Posts and Telecommunications, China"],"affiliations":[{"raw_affiliation_string":"Advanced Innovation Center for Human Brain Protection Capital Medical University Beijing 100054 China and Beijing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I139759216","https://openalex.org/I183519381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089631063","display_name":"Yingxue Wang","orcid":"https://orcid.org/0000-0003-4631-3523"},"institutions":[{"id":"https://openalex.org/I183519381","display_name":"Capital Medical University","ror":"https://ror.org/013xs5b60","country_code":"CN","type":"education","lineage":["https://openalex.org/I183519381"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingxue Wang","raw_affiliation_strings":["Advanced Innovation Center for Human Brain Protection Capital Medical University Beijing 100054 China and National Engineering Laboratory for Public Safety Risk Perception and Control by Big Data (NEL-PSRPC), China"],"affiliations":[{"raw_affiliation_string":"Advanced Innovation Center for Human Brain Protection Capital Medical University Beijing 100054 China and National Engineering Laboratory for Public Safety Risk Perception and Control by Big Data (NEL-PSRPC), China","institution_ids":["https://openalex.org/I183519381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101412011","display_name":"Xueli Wang","orcid":"https://orcid.org/0009-0004-6119-7166"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueli Wang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications Beijing 100876 China, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications Beijing 100876 China, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045750357","display_name":"Bochao Zou","orcid":"https://orcid.org/0000-0002-2126-8159"},"institutions":[{"id":"https://openalex.org/I183519381","display_name":"Capital Medical University","ror":"https://ror.org/013xs5b60","country_code":"CN","type":"education","lineage":["https://openalex.org/I183519381"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bochao Zou","raw_affiliation_strings":["Advanced Innovation Center for Human Brain Protection Capital Medical University Beijing 100054 China and National Engineering Laboratory for Public Safety Risk Perception and Control by Big Data (NEL-PSRPC), China"],"affiliations":[{"raw_affiliation_string":"Advanced Innovation Center for Human Brain Protection Capital Medical University Beijing 100054 China and National Engineering Laboratory for Public Safety Risk Perception and Control by Big Data (NEL-PSRPC), China","institution_ids":["https://openalex.org/I183519381"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081885053","display_name":"Haiyong Xie","orcid":"https://orcid.org/0000-0003-2084-2697"},"institutions":[{"id":"https://openalex.org/I183519381","display_name":"Capital Medical University","ror":"https://ror.org/013xs5b60","country_code":"CN","type":"education","lineage":["https://openalex.org/I183519381"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiyong Xie","raw_affiliation_strings":["Advanced Innovation Center for Human Brain Protection Capital Medical University Beijing 100054 China and National Engineering Laboratory for Public Safety Risk Perception and Control by Big Data (NEL-PSRPC), China"],"affiliations":[{"raw_affiliation_string":"Advanced Innovation Center for Human Brain Protection Capital Medical University Beijing 100054 China and National Engineering Laboratory for Public Safety Risk Perception and Control by Big Data (NEL-PSRPC), China","institution_ids":["https://openalex.org/I183519381"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100459689"],"corresponding_institution_ids":["https://openalex.org/I139759216","https://openalex.org/I183519381"],"apc_list":null,"apc_paid":null,"fwci":0.8542,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.76136099,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"101","last_page":"106"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9987000226974487,"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"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9987000226974487,"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"}},{"id":"https://openalex.org/T12488","display_name":"Mental Health via Writing","score":0.9915000200271606,"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":0.9871000051498413,"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/embedding","display_name":"Embedding","score":0.6700468063354492},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6499959230422974},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.596886157989502},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.592768132686615},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.5909569263458252},{"id":"https://openalex.org/keywords/depression","display_name":"Depression (economics)","score":0.49770835041999817},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.46843796968460083},{"id":"https://openalex.org/keywords/decision-model","display_name":"Decision model","score":0.45505577325820923},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.441193550825119},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43286412954330444},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.40386736392974854},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.36459749937057495}],"concepts":[{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6700468063354492},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6499959230422974},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.596886157989502},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.592768132686615},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.5909569263458252},{"id":"https://openalex.org/C2776867660","wikidata":"https://www.wikidata.org/wiki/Q1814941","display_name":"Depression (economics)","level":2,"score":0.49770835041999817},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.46843796968460083},{"id":"https://openalex.org/C59594135","wikidata":"https://www.wikidata.org/wiki/Q5249242","display_name":"Decision model","level":2,"score":0.45505577325820923},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.441193550825119},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43286412954330444},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.40386736392974854},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.36459749937057495},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3421515.3421516","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3421515.3421516","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 2nd Symposium on Signal Processing Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.5899999737739563}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2064675550","https://openalex.org/W2131774270","https://openalex.org/W2346454595","https://openalex.org/W2395639500","https://openalex.org/W2530421149","https://openalex.org/W2531271152","https://openalex.org/W2613375858","https://openalex.org/W2749915133","https://openalex.org/W2751214333","https://openalex.org/W2765540322","https://openalex.org/W2767088461","https://openalex.org/W2900794986"],"related_works":["https://openalex.org/W3000097931","https://openalex.org/W2354322770","https://openalex.org/W4237547500","https://openalex.org/W1570848052","https://openalex.org/W2373192430","https://openalex.org/W4239268388","https://openalex.org/W4243305035","https://openalex.org/W1537496349","https://openalex.org/W2379407973","https://openalex.org/W2350267540"],"abstract_inverted_index":{"With":[0],"about":[1],"300":[2],"million":[3],"people":[4],"in":[5,19,33,104,128],"the":[6,20,106,111,116],"world":[7],"suffer":[8],"from":[9],"depression,":[10],"depressive":[11],"disorder":[12],"has":[13],"become":[14],"a":[15,31,59],"major":[16],"health":[17],"problem":[18],"world.":[21],"The":[22,133],"2017":[23],"Audio/Visual":[24],"Emotion":[25],"Challenge":[26],"required":[27],"Participants":[28],"to":[29,35,101],"build":[30],"model":[32,62,83,123],"order":[34],"detect":[36],"depression":[37,55],"based":[38],"on":[39],"audio,":[40],"video,":[41],"and":[42,71,84,136,140],"text":[43,52,66],"data.":[44],"In":[45],"this":[46],"paper,":[47],"we":[48],"use":[49],"single-modality,":[50],"transcribed":[51],"data,":[53],"for":[54],"detection.":[56],"We":[57,109],"proposed":[58,120],"decision":[60,117,121],"fusion":[61,122],"which":[63],"combines":[64],"Bert":[65,81],"embedding":[67,76,82],"of":[68,80,130],"interview":[69],"transcript":[70],"key":[72],"phrases":[73,88],"recognition.":[74],"Text":[75],"module":[77,90],"is":[78,138],"composed":[79],"LSTM":[85],"network.":[86],"Key":[87],"recognition":[89,107],"recognizes":[91],"words":[92],"such":[93],"as":[94],"\u201cdepression\u201d,":[95],"\u201ccannot":[96],"sleep\u201d":[97],"that":[98],"are":[99],"believed":[100],"be":[102],"valuable":[103],"improving":[105],"accuracy.":[108,132],"fuse":[110],"two":[112],"identification":[113],"methods":[114],"at":[115],"level.":[118],"Our":[119],"outperforms":[124],"previous":[125],"single-modality":[126],"approaches":[127],"terms":[129],"classification":[131],"F1":[134],"scores":[135],"precision":[137],"0.81":[139],"0.82,":[141],"respectively.":[142]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2026-02-25T08:12:03.925757","created_date":"2025-10-10T00:00:00"}