This paper presents a financial analysis over Twitter sentiment analytics extracted from listed retail brands. We investigate whether there is statistically-significant information between the Twitter sentiment and volume, and stock returns and volatility. Traditional newswires are also considered as a proxy for the market sentiment for comparative purpose. The results suggest that social media is indeed a valuable source in the analysis of the financial dynamics in the retail sector even when compared to mainstream news such as the Wall Street Journal and Dow Jones Newswires.
@article{arxiv.1507.00784,
title = {Twitter Sentiment Analysis Applied to Finance: A Case Study in the Retail Industry},
author = {Thársis Tuani Pinto Souza and Olga Kolchyna and Philip C. Treleaven and Tomaso Aste},
journal= {arXiv preprint arXiv:1507.00784},
year = {2017}
}