Stock Market Prediction based on Public Sentiment Analysis using ML with Thesis

Prediction for the Stock Market Utilizing sentiment analysis from tweets and machine learning with a web application. Flask and Wordpress need to be the foundations for the Web App's front end. Using input from the user, the app predicts stock prices for any given stock listed on the NASDAQ or NSE for the following seven days. ARIMA, LSTM, and Linear Regression are the three algorithms that are used to make predictions. The web application uses sentiment analysis of tweets in conjunction with the predicted prices for the subsequent week to determine whether to recommend a price increase or decrease.