Sentiment Analysis with Conventional Data Mining for Predicting Share Market Values

Rohan Kapre, Rohan Jawale, Akshay Dhole, Manisha Sonawane

Abstract: Proposed system aims to predict stock price movement more accurately by emulating instinctual reasoning by implementing sentiment analysis. Stock market has usually been the proving grounds for data mining applications. There is a lack of efficient models which can imitate the heuristic reasoning of humans based on current events/trends. The proposed system is an attempt to reconcile computed sentiments alongside traditional/more common data mining. Data sets consisting of historical data as well as recent headlines will be mined to predict future stock price.

Keywords: Sentiment Analysis, data mining, Historical Data, Prediction, Stock Market, Stock Value