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Machine Learning-Based Approach for Depression Detection in Twitter Using Content and Activity Features
2020
IEICE transactions on information and systems
Social media channels, such as Facebook, Twitter, and Instagram, have altered our world forever. People are now increasingly connected than ever and reveal a sort of digital persona. Although social media certainly has several remarkable features, the demerits are undeniable as well. Recent studies have indicated a correlation between high usage of social media sites and increased depression. The present study aims to exploit machine learning techniques for detecting a probable depressed
doi:10.1587/transinf.2020edp7023
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