S. Baccianella, A. Esuli, and F. Sebastiani, Sentiwordnet 3.0: An enhanced lexical resource for sentiment analysis and opinion mining, LREC, 2010.

J. Benhardus, Streaming trend detection in Twitter, International Journal of Web Based Communities, vol.9, issue.1, 2010.
DOI : 10.1504/IJWBC.2013.051298

S. Bringay, N. Béchet, F. Bouillot, P. Poncelet, M. Roche et al., Towards an On-Line Analysis of Tweets Processing, Proceedings of DEXA, pp.154-161, 2011.
DOI : 10.1145/361219.361220

URL : https://hal.archives-ouvertes.fr/hal-00636285

B. Daille, Morphological rule induction for terminology acquisition, COLING, pp.215-221, 2000.

D. Davidov, O. Tsur, and A. Rappoport, Enhanced sentiment learning using twitter hashtags and smileys, Proceedings of International Conference on Computational Linguistics (COLING), 2010.

M. Mathioudakis and N. Koudas, TwitterMonitor, Proceedings of the 2010 international conference on Management of data, SIGMOD '10, 2010.
DOI : 10.1145/1807167.1807306

A. Pak and P. Paroubek, Microblogging for micro sentiment analysis and opinion mining, TAL, vol.51, issue.3, pp.75-100, 2010.

L. Ruan, Meaningful signs -emoticons. Theory and Practice in Language Studies, pp.91-94, 2011.
DOI : 10.4304/tpls.1.1.91-94

URL : https://doaj.org/article/96cee3c9c6864f50a7ee5538ff5b8b80

T. Sakaki, M. Okazaki, and Y. Matsuo, Earthquake shakes Twitter users, Proceedings of the 19th international conference on World wide web, WWW '10, 2010.
DOI : 10.1145/1772690.1772777

G. Salton, A. Wong, and C. S. Yang, A vector space model for automatic indexing, Communications of the ACM, vol.18, issue.11, pp.613-620, 1975.
DOI : 10.1145/361219.361220