Tracking Dengue Epidemics Using Twitter Content Classification and Topic Modelling

Author:

Missier Paolo,Romanovsky Alexander,Miu Tudor,Pal Atinder,Daniilakis Michael,Garcia Alessandro,Cedrim Diego,da Silva Sousa Leonardo

Publisher

Springer International Publishing

Reference18 articles.

1. Achrekar, H., Lazarus, R., Gandhe, A., Yu, S., Liu, B.: Predicting flu trends using Twitter data. In: IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), pp. 702–707. IEEE (2011)

2. Aggarwal, C.C., Zhai, C.X.: A survey of text clustering algorithms. In: Aggarwal, C.A., Zhai, C.X. (eds.) Mining Text Data, pp. 77–128. Springer, New York (2012)

3. Becker, H., Naaman, M., Gravano, L., Topics, B.T.: Real-world event identification on Twitter. In: Proceedings of ICWSM, pp. 1–17 (2011)

4. Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent Dirichlet allocation. J. Mach. Learn. Res. 3, 993–1022 (2003)

5. CDC. Centers for Disease Control and Prevention (2015). http://www.cdc.gov/dengue/. Accessed 15 Dec 2015

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