1. Balahur, A. and Turchi, M. (2013). “Improving Sentiment Analysis in Twitter Using Multilingual Machine Translated Data.” In Proceedings of Recent Advances in Natural Language Processing, pp. 49–55.
2. Basile, V. and Nissim, M. (2013). “Sentiment Analysis on Italian Tweets.” In Proceedings of the 4th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, pp. 100–107.
3. Bhattasali, S., Cytryn, J., Feldman, E., and Park, J. (2015). “Automatic Identification of Rhetorical Questions.” In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing, pp. 743–749.
4. Bollen, J., Mao, H., and Zeng, X. (2011). “Annotating Expressions of Opinions and Emotions in Language.” Journal of Computational Science, 2 (1), pp. 1–8.
5. Cheong, M. and Lee, V. C. S. (2011). “A Microblogging-Based Approach to Terrorism Informatics: Exploration and Chronicling Civilian Sentiment and Response to Terrorism Events via Twitter.” Information Systems Frontiers, 13 (1), pp. 45–59.