Tweeting your mental health: Exploration of different classifiers and features with emotional signals in identifying mental health conditions
Applying simple natural language processing methods on social media data have shown to be able to reveal insights of specific mental disorders. However, few studies have employed fine-grained sentiment or emotion related analysis approaches in the detection of mental health conditions from social me...
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Main Authors: | , , , , |
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Format: | Default Conference proceeding |
Published: |
2018
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Subjects: | |
Online Access: | https://hdl.handle.net/2134/36066 |
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