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  • Financial Sentiment Analysis using Twitter

    As part of my Phd dissertation at Walden University, I developed an application that would analyze the sentiments of tweets that include the stock symbols of the publicly held firms in the United States and correlate the results with the financial data of such firms during the period of the research. At the time of the coding, between 4th quarter of 2014 and the first quarter of 2015, I could not find ready made tools that I could use for conducting the data analysis. Some companies offered solutions at very high costs while other tools had limited capabilities. So I went ahead and stitched various tools and coding techniques for my own research. The key steps and scripting tools used were as follows:

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