DOIONLINE

DOIONLINE NO - IJMAS-IRAJ-DOIONLINE-12744

Publish In
International Journal of Management and Applied Science (IJMAS)-IJMAS
Journal Home
Volume Issue
Issue
Volume-4,Issue-6  ( Jun, 2018 )
Paper Title
Sentimental Analysis on News Data for Stock Market Prediction
Author Name
Juhi Gupta, Anshul Jain, Yash Bohra
Affilition
K.J Somaiya Institute of Engineering and Information Technology
Pages
84-86
Abstract
Everyone wants to get rich real quick. Best way to head start is to invest into the stock markets. Intensive analysis involves going through all the news articles see there historic data to learn how the company has evolved over time and other information we could get over the internet. Now imagine automating the whole process using machine learning. We will be using news article headline and past historic stock price as dataset to train and test the model .In this paper we will take news from New york time using NYtimes api, historic price using yahoo finance and use vader algorithm to extract the sentiment analysis and by using Linear regression machine learning algorithm we can predict future stock price. Keywords - Machine learning, Sentiment analysis, Prediction, Stock market
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