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Abstract: Depression is one of the biggest issues which is increasing rapidly day by day. It has always been a topic for various researchers to discover new methods and techniques to overcome it. It is basically a kind of disorder in which people do not feel happy and joy. Since with the increase of the social networking sites people are expressing their feelings on the social media platforms which are helping the various researchers to analyze these posts and find an effective solution. Now a days there are various studies that aim to exploit machine learning techniques for detecting a probable depressed Twitter (Now X) user tweets. Textual data can be collected from the comments on the post, exchanging information etc. Using Facebook, Twitter, and Instagram. There is a huge amount of data which is present on these platforms which can be used for research. The aim of this study is that whether machine learning can be able to effectively detect the various signs of depression by analyzing the user post. This paper is basically on the sentimental analysis using NLP that identifies that the post is positive, negative or neutral.
Aloukik Verma (Sat,) studied this question.