{"id":"https://openalex.org/W4210357218","doi":"https://doi.org/10.1145/3506701","title":"Fuzzy Contrast Set Based Deep Attention Network for Lexical Analysis and Mental Health Treatment","display_name":"Fuzzy Contrast Set Based Deep Attention Network for Lexical Analysis and Mental Health Treatment","publication_year":2022,"publication_date":"2022-02-03","ids":{"openalex":"https://openalex.org/W4210357218","doi":"https://doi.org/10.1145/3506701"},"language":"en","primary_location":{"id":"doi:10.1145/3506701","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3506701","pdf_url":null,"source":{"id":"https://openalex.org/S4306421405","display_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","issn_l":"2375-4699","issn":["2375-4699","2375-4702"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","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/A5091198094","display_name":"Usman Ahmed","orcid":"https://orcid.org/0000-0002-3933-4273"},"institutions":[{"id":"https://openalex.org/I179863766","display_name":"Western Norway University of Applied Sciences","ror":"https://ror.org/05phns765","country_code":"NO","type":"education","lineage":["https://openalex.org/I179863766"]}],"countries":["NO"],"is_corresponding":true,"raw_author_name":"Usman Ahmed","raw_affiliation_strings":["Western Norway University of Applied Sciences, Bergen, Norway"],"affiliations":[{"raw_affiliation_string":"Western Norway University of Applied Sciences, Bergen, Norway","institution_ids":["https://openalex.org/I179863766"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000640263","display_name":"Jerry Chun\u2010Wei Lin","orcid":"https://orcid.org/0000-0001-8768-9709"},"institutions":[{"id":"https://openalex.org/I179863766","display_name":"Western Norway University of Applied Sciences","ror":"https://ror.org/05phns765","country_code":"NO","type":"education","lineage":["https://openalex.org/I179863766"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Jerry Chun-Wei Lin","raw_affiliation_strings":["Western Norway University of Applied Sciences, Bergen, Norway"],"affiliations":[{"raw_affiliation_string":"Western Norway University of Applied Sciences, Bergen, Norway","institution_ids":["https://openalex.org/I179863766"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041541232","display_name":"Gautam Srivastava","orcid":"https://orcid.org/0000-0001-9851-4103"},"institutions":[{"id":"https://openalex.org/I184693016","display_name":"China Medical University","ror":"https://ror.org/00v408z34","country_code":"TW","type":"education","lineage":["https://openalex.org/I184693016"]},{"id":"https://openalex.org/I48890080","display_name":"Brandon University","ror":"https://ror.org/02qp25a50","country_code":"CA","type":"education","lineage":["https://openalex.org/I48890080"]}],"countries":["CA","TW"],"is_corresponding":false,"raw_author_name":"Gautam Srivastava","raw_affiliation_strings":["Brandon University, Canada and China Medical University, Taichung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Brandon University, Canada and China Medical University, Taichung, Taiwan","institution_ids":["https://openalex.org/I184693016","https://openalex.org/I48890080"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5091198094"],"corresponding_institution_ids":["https://openalex.org/I179863766"],"apc_list":null,"apc_paid":null,"fwci":3.9994,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.93570012,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"21","issue":"5","first_page":"1","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12488","display_name":"Mental Health via Writing","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9962000250816345,"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":0.9860000014305115,"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/contrast","display_name":"Contrast (vision)","score":0.6727994084358215},{"id":"https://openalex.org/keywords/mental-health","display_name":"Mental health","score":0.6168150305747986},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5789792537689209},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5789355039596558},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5395634770393372},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5340195298194885},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4967499375343323},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.48321282863616943},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4293387234210968},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3651365041732788},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.16063472628593445},{"id":"https://openalex.org/keywords/psychiatry","display_name":"Psychiatry","score":0.15105882287025452},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.09009197354316711},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.07517725229263306}],"concepts":[{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.6727994084358215},{"id":"https://openalex.org/C134362201","wikidata":"https://www.wikidata.org/wiki/Q317309","display_name":"Mental health","level":2,"score":0.6168150305747986},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5789792537689209},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5789355039596558},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5395634770393372},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5340195298194885},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4967499375343323},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.48321282863616943},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4293387234210968},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3651365041732788},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.16063472628593445},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.15105882287025452},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.09009197354316711},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.07517725229263306},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3506701","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3506701","pdf_url":null,"source":{"id":"https://openalex.org/S4306421405","display_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","issn_l":"2375-4699","issn":["2375-4699","2375-4702"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W71468256","https://openalex.org/W1689711448","https://openalex.org/W1902237438","https://openalex.org/W1972647581","https://openalex.org/W2042833654","https://openalex.org/W2062402596","https://openalex.org/W2066563942","https://openalex.org/W2111990480","https://openalex.org/W2121875784","https://openalex.org/W2132322340","https://openalex.org/W2137059993","https://openalex.org/W2157331557","https://openalex.org/W2250539671","https://openalex.org/W2470673105","https://openalex.org/W2507974895","https://openalex.org/W2525778437","https://openalex.org/W2604319603","https://openalex.org/W2886674741","https://openalex.org/W2892221324","https://openalex.org/W2910096450","https://openalex.org/W2912654919","https://openalex.org/W2954235268","https://openalex.org/W3015706105","https://openalex.org/W3034078763","https://openalex.org/W3036502703","https://openalex.org/W3037261120","https://openalex.org/W3045543021","https://openalex.org/W3045973332","https://openalex.org/W3061415454","https://openalex.org/W3082079556","https://openalex.org/W3085890295","https://openalex.org/W3103145424","https://openalex.org/W3108108066","https://openalex.org/W3110281122","https://openalex.org/W3145979535","https://openalex.org/W3191252578","https://openalex.org/W3193852816"],"related_works":["https://openalex.org/W2069592018","https://openalex.org/W2075740387","https://openalex.org/W2358990940","https://openalex.org/W2093931120","https://openalex.org/W2349116365","https://openalex.org/W2065457896","https://openalex.org/W3021708704","https://openalex.org/W3173234801","https://openalex.org/W2004231473","https://openalex.org/W2060895226"],"abstract_inverted_index":{"Internet-delivered":[0],"psychological":[1],"treatments":[2],"(IDPT)":[3],"consider":[4],"mental":[5,30,44,57,81,97,139],"problems":[6,174],"based":[7],"on":[8],"Internet":[9],"interaction.":[10],"With":[11],"such":[12],"increased":[13],"interaction":[14],"because":[15],"of":[16,111,171],"the":[17,51,90,100,109,125,134,138,156,160,162],"COVID-19":[18],"pandemic,":[19],"more":[20,37],"online":[21],"tools":[22],"have":[23],"been":[24],"widely":[25],"used":[26,94],"to":[27,95,106,108,123,136,154],"provide":[28],"evidence-based":[29],"health":[31,45,58,140],"services.":[32],"This":[33],"increase":[34],"helps":[35],"cover":[36],"population":[38],"by":[39],"using":[40],"fewer":[41],"resources":[42],"for":[43,50,75],"treatments.":[46],"Adaptivity":[47],"and":[48,79,120,151],"customization":[49],"remedy":[52],"routine":[53],"can":[54,165],"help":[55],"solve":[56],"issues":[59],"quickly.":[60],"In":[61],"this":[62],"research,":[63],"we":[64],"propose":[65],"a":[66,167],"fuzzy":[67,130],"contrast-based":[68],"model":[69,117,131],"that":[70],"uses":[71,118,133],"an":[72],"attention":[73,101,127],"network":[74,102],"positional":[76],"weighted":[77,126],"words":[78],"classifies":[80],"patient":[82],"authored":[83],"text":[84],"into":[85,142],"distinct":[86,143],"symptoms.":[87,178],"After":[88],"that,":[89],"trained":[91],"embedding":[92],"is":[93,147],"label":[96],"data.":[98],"Then":[99],"expands":[103],"its":[104],"lexicons":[105],"adapt":[107],"usage":[110],"transfer":[112],"learning":[113],"techniques.":[114],"The":[115,129],"proposed":[116,157],"similarity":[119],"contrast":[121],"sets":[122,135],"classify":[124,137],"words.":[128],"then":[132],"data":[141],"classes.":[144],"Our":[145],"method":[146],"compared":[148],"with":[149,173,176],"non-embedding":[150],"traditional":[152],"techniques":[153],"demonstrate":[155],"model.":[158],"From":[159],"experiments,":[161],"feature":[163],"vector":[164],"achieve":[166],"high":[168],"ROC":[169],"curve":[170],"0.82":[172],"associated":[175],"nine":[177]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":9}],"updated_date":"2026-03-13T16:22:10.518609","created_date":"2025-10-10T00:00:00"}
