Thematic Analysis on User Reviews for Depression and Anxiety Chatbot Apps: Machine Learning Approach.

Ahmed, Arfan; Aziz, Sarah; Khalifa, Mohamed; Shah, Uzair; Hassan, Asma; Abd-Alrazaq, Alaa; Househ, Mowafa

Ahmed, Arfan; Aziz, Sarah; Khalifa, Mohamed; Shah, Uzair; Hassan, Asma; Abd-Alrazaq, Alaa; Househ, Mowafa.

Afiliación

Ahmed A; Division of Information and Computing Technology, College of Science and Engineering, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar.
Aziz S; AI Center for Precision Health, Weill Cornell Medicine-Qatar, Doha, Qatar.
Khalifa M; Division of Information and Computing Technology, College of Science and Engineering, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar.
Shah U; AI Center for Precision Health, Weill Cornell Medicine-Qatar, Doha, Qatar.
Hassan A; Centre for Health Informatics, Australian Institute of Health Innovation, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, Australia.
Abd-Alrazaq A; Division of Information and Computing Technology, College of Science and Engineering, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar.
Househ M; Division of Information and Computing Technology, College of Science and Engineering, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar.

JMIR Form Res ; 6(3): e27654, 2022 Mar 11.

Article en En | MEDLINE | ID: mdl-35275069

Palabras clave

anxiety; chatbots; conversational agents; depression; latent Dirichlet allocation; mobile phone; thematic analysis; topic modeling

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: JMIR Form Res Año: 2022 Tipo del documento: Article País de afiliación: Qatar Pais de publicación: Canadá

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