I posted a couple of weeks ago with a dashboard performing some sentiment analysis on Tweets collected during Englands fixtures of the World Cup, in this post we鈥檒l go behind the scenes to look at how it was created. Now that are England are out of the World Cup and Argentina have won, with Messi cementing his reputation as the 馃悙, now seems like a good time to write up the process of how I did the analysis....
Introduction Since Englands World Cup opener against Iran, I鈥檝e been attempting to capture the Tweets of the, sometimes fickle, England fanbase on which to conduct some analysis. My goal was to capture as many relevant tweets as possible, then apply a model to conduct sentiment analysis on the contents of the Tweet. At a high level, the model analyses the Tweet text and applies an emotion to it, either Fear, Joy, Surprise, Neutral, Sadness, Anger or Disgust with a score between 0 and 100, where scores closer to 100 indicate a higher probability that the assessment of emotion is accurate (find more technical details at the bottom the page)....