Deep Learning for Stock Market Prediction from Financial News Articles using VADER and LSTM

Abstract:

In this paper, we will discover the fruit of the continuous work of four students who really enjoy working together under the assistance of their inspirational professor that we really thanks a lot for the support.

well ,in this project we will take you on a journey where you will get to know why we choose this topic and our motivation for it. then we will explore the data and the relation between its columns

.that will help us to have a better idea about our data and how we should split it. Moreover, we will get to the chapter when we will analyze what the last research comes up with. Then we will clarify the methodology we have pursuit starting from the use of "Vader" to analyze news, and then the choice of the right algorithm for the prediction of the stock prices. Finally, we will talk about the result and their accuracy which was really interesting.

This project was really a successful way to make us love the data science domain and know it better and we are really grateful for everything.