{"id":"https://openalex.org/W2981123712","doi":"https://doi.org/10.48550/arxiv.1910.06707","title":"A Deep Learning Based Chatbot for Campus Psychological Therapy","display_name":"A Deep Learning Based Chatbot for Campus Psychological Therapy","publication_year":2019,"publication_date":"2019-10-09","ids":{"openalex":"https://openalex.org/W2981123712","doi":"https://doi.org/10.48550/arxiv.1910.06707","mag":"2981123712"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:1910.06707","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1910.06707","pdf_url":"https://arxiv.org/pdf/1910.06707","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"volume":null,"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1910.06707","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021178816","display_name":"Junjie Yin","orcid":"https://orcid.org/0000-0002-0938-6363","observed_orcids":["https://orcid.org/0000-0002-0938-6363"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yin, Junjie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090783407","display_name":"Zixun Chen","orcid":"https://orcid.org/0000-0001-6970-2156","observed_orcids":["https://orcid.org/0000-0001-6970-2156"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Zixun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036288264","display_name":"Kelai Zhou","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Kelai","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5090016409","display_name":"Chongyuan Yu","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu, Chongyuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":null,"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/T11519","display_name":"Digital Mental Health Interventions","score":0.7817000150680542,"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"}},"topics":[{"id":"https://openalex.org/T11519","display_name":"Digital Mental Health Interventions","score":0.7817000150680542,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.11400000005960464,"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":0.04540000110864639,"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/chatbots","display_name":"chatbots","score":0.8840000033378601},{"id":"https://openalex.org/keywords/campus-mental-health","display_name":"campus mental health","score":0.6110000014305115},{"id":"https://openalex.org/keywords/depression-prevention","display_name":"depression prevention","score":0.953000009059906},{"id":"https://openalex.org/keywords/negative-emotion-detection","display_name":"negative emotion detection","score":0.8569999933242798},{"id":"https://openalex.org/keywords/adolescent-mental-health","display_name":"adolescent mental health","score":0.6060000061988831},{"id":"https://openalex.org/keywords/sequence-to-sequence-models","display_name":"sequence-to-sequence models","score":0.6439999938011169},{"id":"https://openalex.org/keywords/bilstm","display_name":"BiLSTM","score":0.8479999899864197},{"id":"https://openalex.org/keywords/maximum-mutual-information","display_name":"maximum mutual information","score":0.7549999952316284},{"id":"https://openalex.org/keywords/positive-reinforcement","display_name":"positive reinforcement","score":0.3869999945163727},{"id":"https://openalex.org/keywords/psychological-counselling","display_name":"psychological counselling","score":0.4950000047683716},{"id":"https://openalex.org/keywords/user-study","display_name":"user study","score":0.4740000069141388}],"concepts":[{"id":"https://openalex.org/C2779041454","wikidata":"https://www.wikidata.org/wiki/Q870780","display_name":"Chatbot","level":2,"score":0.9128066897392273},{"id":"https://openalex.org/C2780733359","wikidata":"https://www.wikidata.org/wiki/Q331769","display_name":"Mood","level":2,"score":0.7145780324935913},{"id":"https://openalex.org/C558461103","wikidata":"https://www.wikidata.org/wiki/Q154430","display_name":"Anxiety","level":2,"score":0.5509558916091919},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5405932664871216},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.47996973991394043},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.47309353947639465},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.425245076417923},{"id":"https://openalex.org/C2776867660","wikidata":"https://www.wikidata.org/wiki/Q1814941","display_name":"Depression (economics)","level":2,"score":0.4241403639316559},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.41694942116737366},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3766271770000458},{"id":"https://openalex.org/C75630572","wikidata":"https://www.wikidata.org/wiki/Q538904","display_name":"Applied psychology","level":1,"score":0.3219740390777588},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.2351524531841278},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.088645339012146},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","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/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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":2,"locations":[{"id":"pmh:oai:arXiv.org:1910.06707","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1910.06707","pdf_url":"https://arxiv.org/pdf/1910.06707","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.1910.06707","doi":"https://doi.org/10.48550/arxiv.1910.06707","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1910.06707","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1910.06707","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1910.06707","pdf_url":"https://arxiv.org/pdf/1910.06707","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.6240000128746033,"id":"https://metadata.un.org/sdg/3"}],"sustainable_development_goals_aurora":[{"display_name":"Quality education","score":0.6499999761581421,"id":"https://metadata.un.org/sdg/4"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W50950926","https://openalex.org/W1572344840","https://openalex.org/W1810943226","https://openalex.org/W1877570817","https://openalex.org/W1980743522","https://openalex.org/W2015556048","https://openalex.org/W2049858747","https://openalex.org/W2053415183","https://openalex.org/W2104190448","https://openalex.org/W2116148009","https://openalex.org/W2140034517","https://openalex.org/W2148905283","https://openalex.org/W2161466446","https://openalex.org/W2251096302","https://openalex.org/W2962883855","https://openalex.org/W2963206148"],"related_works":["https://openalex.org/W4383501580","https://openalex.org/W4214931137","https://openalex.org/W4387007686","https://openalex.org/W4313813117","https://openalex.org/W4382052417","https://openalex.org/W3192088754","https://openalex.org/W3084631705","https://openalex.org/W3176146353","https://openalex.org/W4293646425","https://openalex.org/W4379781060"],"abstract_inverted_index":{"In":[0],"this":[1,97],"paper,":[2],"we":[3,144],"propose":[4],"Evebot,":[5],"an":[6,35,132],"innovative,":[7],"sequence":[8,10,62,64],"to":[9,63,77,105],"(Seq2seq)":[11],"based,":[12],"fully":[13],"generative":[14],"conversational":[15],"system":[16,32,98,130],"for":[17,45,57,135],"the":[18,59,120,127,149,158],"diagnosis":[19],"of":[20,25,34,37,49,87,108,122],"negative":[21,47,80],"emotions":[22,48,81],"and":[23,51,67,90,115,117],"prevention":[24],"depression":[26,109],"through":[27],"positively":[28],"suggestive":[29],"responses.":[30],"The":[31],"consists":[33],"assembly":[36],"deep-learning":[38],"based":[39,43],"models,":[40],"including":[41],"Bi-LSTM":[42],"model":[44],"detecting":[46],"users":[50],"obtaining":[52],"psychological":[53],"counselling":[54],"related":[55],"corpus":[56],"training":[58],"chatbot,":[60],"anti-language":[61],"neural":[65],"network,":[66],"maximum":[68],"mutual":[69],"information":[70],"(MMI)":[71],"model.":[72],"As":[73],"adolescents":[74],"are":[75],"reluctant":[76],"show":[78],"their":[79],"in":[82,148,151,157],"physical":[83],"interaction,":[84],"traditional":[85],"methods":[86,92],"emotion":[88],"analysis":[89],"comforting":[91],"may":[93],"not":[94],"work.":[95],"Therefore,":[96],"puts":[99],"emphasis":[100],"on":[101],"using":[102],"virtual":[103],"platform":[104,134],"detect":[106],"signs":[107],"or":[110],"anxiety,":[111],"channel":[112],"adolescents'":[113],"stress":[114],"mood,":[116],"thus":[118],"prevent":[119],"emergence":[121],"mental":[123],"illness.":[124],"We":[125],"launched":[126],"integrated":[128],"chatbot":[129],"onto":[131],"online":[133],"real-world":[136],"campus":[137],"applications.":[138],"Through":[139],"a":[140],"one-month":[141],"user":[142],"study,":[143],"observe":[145],"better":[146],"results":[147],"increase":[150],"positivity":[152],"than":[153],"other":[154],"public":[155],"chatbots":[156],"control":[159],"group.":[160]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2025-10-10T00:00:00"}