1. Asur, S., Huberman, B.: Predicting the future with social media. In: 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), vol. 1, pp. 492–499 (2010)
2. Baccianella, S., Esuli, A., Sebastiani, F.: SentiWordNet 3.0: an enhanced lexical resource for sentiment analysis and opinion mining. In: Proceedings of International Conference on Language Resources and Evaluation, LREC 2010, 17–23 May 2010
3. Boldt, L.C., Vinayagamoorthy, V., et al.: Forecasting nike’s sales using facebook data. In:IEEE International Conference on Big Data (2016)
4. Witten, I.H., Frank, E., Hall, M.A., Pal, C.J.: Data Mining: Practical Machine Learning Tools and Techniques. Morgan Kaufmann, Burlington (2016)
5. Hutto, C.J., Gilbert, E.: VADER: a parisomonious rule-based model for sentiment analysis of social media text. In: Proceedings of 8th International AAAI Conference on Weblogs and Social Media (2014)