International Journal of Management and Applied Science (IJMAS)
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Statistics report
Oct. 2019
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 67
Paper Published : 4093
No. of Authors : 8411
  Journal Paper




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


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