Automated lexical analysis of interviews with individuals with schizophrenia
Schizophrenia is a chronic mental disorder that contributes to poor function and quality of life. We are aiming to design objective assessment tools of schizophrenia. In earlier work, we investigated non-verbal quantitative cues for this purpose. In this paper, we explore linguistic cues, extracted...
محفوظ في:
المؤلفون الرئيسيون: | Xu, Shihao, Yang, Zixu, Chakraborty, Debsubhra, Tahir, Yasir, Maszczyk, Tomasz, Chua, Victoria Yi Han, Dauwels, Justin, Thalmann, Daniel, Thalmann, Nadia Magnenat, Tan, Bhing-Leet, Lee, Jimmy Chee Keong |
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مؤلفون آخرون: | School of Electrical and Electronic Engineering |
التنسيق: | Conference or Workshop Item |
اللغة: | English |
منشور في: |
2020
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الموضوعات: | |
الوصول للمادة أونلاين: | https://hdl.handle.net/10356/139218 |
الوسوم: |
إضافة وسم
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المؤسسة: | Nanyang Technological University |
اللغة: | English |
مواد مشابهة
-
Assessment and Prediction of Negative Symptoms of Schizophrenia from RGB+D Movement Signals
بواسطة: Chakraborty, Debsubhra, وآخرون
منشور في: (2017) -
Automatic verbal analysis of interviews with schizophrenic patients
بواسطة: Xu, Shihao, وآخرون
منشور في: (2020) -
Assessment of patients with negative symptoms of schizophrenia from movement, and prosodic and conversational speech signals
بواسطة: Tan, Bhing-Leet, وآخرون
منشور في: (2019) -
Prediction of negative symptoms of schizophrenia from objective linguistic, acoustic and non-verbal conversational cues
بواسطة: Chakraborty, Debsubhra, وآخرون
منشور في: (2020) -
Prediction of negative symptoms of schizophrenia from emotion related low-level speech signals
بواسطة: Chakraborty, Debsubhra, وآخرون
منشور في: (2020)