1. Agarwal, A., Xie, B., Vovsha, I., Rambow, O., Passonneau, R.: Sentiment analysis of twitter data. In: LSM, pp. 30–38. Association for Computational Linguistics (2011)
2. Barbosa, L., Feng, J.: Robust sentiment detection on twitter from biased and noisy data. In: COLING(Poster), pp. 36–44. Association for Computational Linguistics (2010)
3. Becker, H., Naaman, M., Gravano, L.: Beyond trending topics: Real-world event identification on twitter. In: ICWSM (2011)
4. Cataldi, M., Di Caro, L., Schifanella, C.: Emerging topic detection on twitter based on temporal and social terms evaluation. In: MDMKDD, p. 4. ACM (2010)
5. Diao, Q., Jiang, J., Zhu, F., Lim, E.P.: Finding bursty topics from microblogs. In: ACL, pp. 536–544. Association for Computational Linguistics (2012)