Matches in SemOpenAlex for { <https://semopenalex.org/work/W4295473018> ?p ?o ?g. }
Showing items 1 to 77 of
77
with 100 items per page.
- W4295473018 abstract "Online counseling is essential for overcoming mobility restrictions, schedule limitations, and mental health stigma. However, government counseling offices are being inun-dated with consultations for which non-mental health supports are targeted. Therefore, we aim to create a classification model that classifies whether the clients have mental health issues or other issues. We expect to support counselors by presenting the classification results. We conducted the first automatic detection of clients who might be suffering from mental health issues and used almost 1000 actual counseling sessions for our machine learning framework. We achieved an F1-score of 0.646 by classifying dialogue sessions using features such as frequency-inverse, document frequency, document embedding of a large-scale language model, linguistic inquiry and word count, topic modeling, and statistics of dialogue sentences. In addition, we performed dimensionality reduction with principal component analysis. We also conducted evaluation experiments using dialogue sentences from the beginning to the middle of sessions as input and clarified the relationship between the number of messages in the dialogues and the transition in the classification performance. We also identified the words that contribute to detecting mental health issues for each client and counselor. Clinical relevance–This study makes it possible to detect the trends identified in a client's anxieties during counseling. Our findings are critical for designing systems that assist counselors." @default.
- W4295473018 created "2022-09-14" @default.
- W4295473018 creator A5001701604 @default.
- W4295473018 creator A5010295108 @default.
- W4295473018 creator A5020994673 @default.
- W4295473018 creator A5044005692 @default.
- W4295473018 creator A5044171260 @default.
- W4295473018 creator A5053301510 @default.
- W4295473018 creator A5064266620 @default.
- W4295473018 creator A5066720517 @default.
- W4295473018 creator A5069659282 @default.
- W4295473018 date "2022-07-11" @default.
- W4295473018 modified "2023-10-16" @default.
- W4295473018 title "Linguistic Features of Clients and Counselors for Early Detection of Mental Health Issues in Online Text-based Counseling" @default.
- W4295473018 cites W2003502731 @default.
- W4295473018 cites W2040232951 @default.
- W4295473018 cites W2059552963 @default.
- W4295473018 cites W2530305026 @default.
- W4295473018 cites W2623779865 @default.
- W4295473018 cites W2885806496 @default.
- W4295473018 cites W2905587047 @default.
- W4295473018 cites W2964262738 @default.
- W4295473018 cites W3133402297 @default.
- W4295473018 cites W3216595028 @default.
- W4295473018 cites W4210574326 @default.
- W4295473018 doi "https://doi.org/10.1109/embc48229.2022.9871408" @default.
- W4295473018 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36085663" @default.
- W4295473018 hasPublicationYear "2022" @default.
- W4295473018 type Work @default.
- W4295473018 citedByCount "1" @default.
- W4295473018 crossrefType "proceedings-article" @default.
- W4295473018 hasAuthorship W4295473018A5001701604 @default.
- W4295473018 hasAuthorship W4295473018A5010295108 @default.
- W4295473018 hasAuthorship W4295473018A5020994673 @default.
- W4295473018 hasAuthorship W4295473018A5044005692 @default.
- W4295473018 hasAuthorship W4295473018A5044171260 @default.
- W4295473018 hasAuthorship W4295473018A5053301510 @default.
- W4295473018 hasAuthorship W4295473018A5064266620 @default.
- W4295473018 hasAuthorship W4295473018A5066720517 @default.
- W4295473018 hasAuthorship W4295473018A5069659282 @default.
- W4295473018 hasConcept C118552586 @default.
- W4295473018 hasConcept C134362201 @default.
- W4295473018 hasConcept C154945302 @default.
- W4295473018 hasConcept C15744967 @default.
- W4295473018 hasConcept C158154518 @default.
- W4295473018 hasConcept C17744445 @default.
- W4295473018 hasConcept C199539241 @default.
- W4295473018 hasConcept C204321447 @default.
- W4295473018 hasConcept C41008148 @default.
- W4295473018 hasConcept C75630572 @default.
- W4295473018 hasConceptScore W4295473018C118552586 @default.
- W4295473018 hasConceptScore W4295473018C134362201 @default.
- W4295473018 hasConceptScore W4295473018C154945302 @default.
- W4295473018 hasConceptScore W4295473018C15744967 @default.
- W4295473018 hasConceptScore W4295473018C158154518 @default.
- W4295473018 hasConceptScore W4295473018C17744445 @default.
- W4295473018 hasConceptScore W4295473018C199539241 @default.
- W4295473018 hasConceptScore W4295473018C204321447 @default.
- W4295473018 hasConceptScore W4295473018C41008148 @default.
- W4295473018 hasConceptScore W4295473018C75630572 @default.
- W4295473018 hasLocation W42954730181 @default.
- W4295473018 hasLocation W42954730182 @default.
- W4295473018 hasOpenAccess W4295473018 @default.
- W4295473018 hasPrimaryLocation W42954730181 @default.
- W4295473018 hasRelatedWork W1835907303 @default.
- W4295473018 hasRelatedWork W2085384747 @default.
- W4295473018 hasRelatedWork W2088166309 @default.
- W4295473018 hasRelatedWork W2106071040 @default.
- W4295473018 hasRelatedWork W2276587472 @default.
- W4295473018 hasRelatedWork W2615795876 @default.
- W4295473018 hasRelatedWork W3192589309 @default.
- W4295473018 hasRelatedWork W4238976562 @default.
- W4295473018 hasRelatedWork W4248323080 @default.
- W4295473018 hasRelatedWork W4312133475 @default.
- W4295473018 isParatext "false" @default.
- W4295473018 isRetracted "false" @default.
- W4295473018 workType "article" @default.