Maybe you want to see how people are responding to a story or blog of yours – do they love it or hate it; does it make them excited? Maybe you want to detect the tone of people mentioning your company or product. Or perhaps you want to keep tabs on the mood of stocks in order to make money. We can use sentiment analysis for all of these things.
In this multi-part series, we will look at different methods of sentiment and emotion analysis in both Python and R. We will compare performance on a standard dataset, and also scrape our own live tweets for analysis. Finally, we will check performance on stock-related text snippets from news headlines and stocktwits.