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@article{151099,
        author = {Shivani Parekh and Siddhivinayak Kulkarni},
        title = {Various Techniques for Stock Price Prediction based on Twitter Data and Public Sentiments},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {7},
        number = {11},
        pages = {680-685},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=151099},
        abstract = {Prediction of stock market prices does not solely depend on only one or two factors, there are many other factors accountable for the same. Technical indicators such as moving averages, stochastic oscillators, RSI are few factors on which stock market prices depend. Sentiments of people are also playing a huge part in the stock prices going high or low. Public opinions about a stock or a product of a company can be taken from various platforms such as twitter or facebook etc. This study aims to predict the stock prices of few nifty 50 companies using twitter sentiment analysis and ensemble modeling. Firstly, how twitter sentiments are driving the stock prices up and down shall be analyzed and then prediction of closing price of stocks of companies listed in nifty 50 will be done.},
        keywords = {Ensemble learning, Indian Stock market prediction, linear regression, machine learning, random forest, SVM, Twitter sentiment analysis.},
        month = {},
        }