The paper presents different machine learning techniques and analyze their performance for early risk prediction of anorexia or depression.
Jun 22, 2020 · This work aims at helping early detection of mental illness (depres- sion and anorexia) by analyzing social media. We used machine learning ...
Different machine learning techniques are presented and their performance for early risk prediction of anorexia or depression is analyzed and it is ...
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The evidence suggests that language analytic tools can detect mental illness symptoms that are posted on social media by someone who could potentially benefit ...
In this paper, we present an approach on social media mining to help early detection of two mental illnesses: depression and anorexia.
The approach to early risk detection of depression and anorexia on social media in CLEF eRisk 2018 is presented, which combines TF-IDF information and ...
Mar 26, 2024 · Early Detection of Depression and Anorexia from. Social Media: A Machine Learning Approach. In: Cantador I, Chevalier M, Melucci M,. Mothe J ...
The paper presents different machine learning techniques and analyze their performance for early risk pre- diction of anorexia or depression. The techniques ...
This paper proposes an approach for the early detection of anorexia nervosa (AN) on social media. We present a machine learning approach that processes the ...
Early detection of signs of anorexia and depression over social media using effective machine learning frameworks. CLEF (Working Notes) (2018). Google Scholar.