Sep 21, 2020 · We propose a multiview learning framework that models both the textual content as well as contextual-information to assess the severity of the ...
We propose a multiview learning framework that models both the textual content as well as contextual-information to assess the severity of the user's health ...
We propose a multiview learning framework that models both the textual content as well as contextual-information to assess the severity of the user's health ...
Xezonaki et al [11] detect depression from transcribed clinical interviews, injecting affective features from lexica. In [19] , Yadav et al use emotion, ...
This study aims to inspect the efficacy of different aspects of Natural. Language Understanding (NLU) to identify the severity of the users health state in ...
We propose a deep learning framework that models both the textual content as well as contextual-information to assess a users' health state. Specifically, our ...
A multiview learning framework that models both the textual content as well as contextual-information to assess the severity of the user's health state is ...
Assessing the Severity of Health States based on Social Media Posts
colab.ws › icpr48806.2021.9411980
We propose a multiview learning framework that models both the textual content as well as contextual-information to assess the severity of the user's health ...
Bibliographic details on Assessing the Severity of Health States based on Social Media Posts.
Mar 26, 2024 · While previous research has indicated that social media language could provide useful information as part of mental health assessments, the ...