Sharma, V.Khemnar, R.Kumari, R.Mohan, B.R.2026-02-0620192019 2nd International Conference on Intelligent Communication and Computational Techniques, ICCT 2019, 2019, Vol., , p. 178-181https://doi.org/10.1109/ICCT46177.2019.8969060https://idr.nitk.ac.in/handle/123456789/30987Stock 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.BSEMachine LearningNSESentiment analysisStock price predictionTime Series