Detection of Stress Levels in Students using Social Media Feed

摘要

Stress plays a crucial role in our daily life. The Keyword Stress defines the state of mental or emotional which subjects to the pressure or tension. Moreover, it mostly impacts on the people who are in the process of developing a child into an adult (adolescent). Here in this paper implement a sentiment analysis using recurrent neural network (RNN). We first define a recurrent neural network (RNN) to generate user-level content attributes from tweet-level attributes. In this paper generate a real-world dataset dynamically from the Twitter which contains the different tweets and retweets by different user’s which includes the both text and emojis and finally comparison between CNN and RNN will be done and measuring the accuracy of both.