Finding a Depressive Twitter User by Analyzing Depress and Antidepressant Tweets

Abstract

People behave differently for a situation, and this depends on their mental health status at that time. The response to their behavior can be seen in their actions. In this present era, social media attracts people to present their views, and such a process became easier too. Many researchers attempted to study social media postings. Twitter is one such media, where millions of people participate. Twitter has attracted millions of tweeters, and thus have a greater number of tweets are added to its data. We collected and analyzed around two lakh tweets related to keywords of the Kessler Ten-point questionnaire. We also collected antidepressant tweets for our study. The results showed similarity and facilitated a process to identify a user from the tweets.