Application using LSTM Model and Vader Sentiment Analysis

Abstract

An analysis program for mental health, discerns your emotional state and offers consoling words of encouragement. The user is able to converse with and express their views to an Al chatbot. The program will determine the most effective course of action based on the user's disposition. It is as if they had a virtual friend with whom they could converse whenever they felt lonely or depressed and carry with them wherever they went. Furthermore, speech recognition and sentiment analysis technologies exist to ascertain the emotional state of a user through the analysis of their voice and conversation input. Upon identifying a high probability that the user is afflicted with depression or arxiety, the software will advise the user to consult with a licensed psychologist. We all agreed, as data science students, to investigate an individual's emotions. Furthermore, we generated several predictions and extrapolated the outcomes.