Paper Title :Sentimental Analysis on News Data for Stock Market Prediction
Author :Juhi Gupta, Anshul Jain, Yash Bohra
Article Citation :Juhi Gupta ,Anshul Jain ,Yash Bohra ,
(2018 ) " Sentimental Analysis on News Data for Stock Market Prediction " ,
International Journal of Management and Applied Science (IJMAS) ,
pp. 84-86,
Volume-4,Issue-6
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
Type : Research paper
Published : Volume-4,Issue-6
DOIONLINE NO - IJMAS-IRAJ-DOIONLINE-12744
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Copyright: © Institute of Research and Journals
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Published on 2018-08-21 |
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