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Sentiment Analysis of Twitter Data for predicting movement in stock price of Apple Inc. (AAPL)

Project Description:

This project is about analyzing social media data about Apple Inc. and predicting its future stock trend with sentiment classification. We applied sentiment analysis and machine learning principles to discover the possible effect of "public sentiment" on "market trends".

Prediction of stock price is an extremely complex and very challenging task because there are too many factors involved such as economic circumstances, political events, and other environmental factors which may impact the stock price. Due to these factors, it is difficult to find out the dependence of a single factor on future prices and trends.

This project has been made as a part of our MDA mid term project by Rishabh Bafna (2K19/SE/095) and Ridham Jain (2K19/SE/093).

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