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http://idr.nitk.ac.in/jspui/handle/123456789/6814
Title: | Time series with sentiment analysis for stock price prediction |
Authors: | Sharma, V. Khemnar, R. Kumari, R. Mohan, B.R. |
Issue Date: | 2019 |
Citation: | 2019 2nd International Conference on Intelligent Communication and Computational Techniques, ICCT 2019, 2019, Vol., , pp.178-181 |
Abstract: | Stock price prediction has been a major area of research for many years. Accurate predictions can help investors take correct decisions about the selling/purchase of stocks. This paper aims to predict and gauge stock costs and patterns, utilizing the power of machine learning, content examination and fundamental analysis, to give traders a hands-on tool for keen speculations particularly for the volatile Indian Stock Market. We propose a technique to analyze and predict the stock price with the help of sentiment analysis and decomposable time series model along with multivariate-linear regression. � 2019 IEEE. |
URI: | http://idr.nitk.ac.in/jspui/handle/123456789/6814 |
Appears in Collections: | 2. Conference Papers |
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