Generating Alerts from Automatically-Extracted Tweets in Standard Arabic-Reference-Cited by-同舟云学术

Generating Alerts from Automatically-Extracted Tweets in Standard Arabic

Published:2016 Issue: Volume: Page:145-154
ISSN:1865-0929
Container-title:Automatic Processing of Natural-Language Electronic Texts with NooJ
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Author:

Chenny Hiba,Mesfar Slim

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-55002-2_13

Reference11 articles.

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2. Mathioudakis, M., Koudas, N.: Twitter monitor. trend detection over the twitter stream. In: SIGMOD/PODS 2010 International Conference on Management of Data, pp. 1155–1158. ACM, New York (2010)

3. Milios, P.L.: KeySee. supporting keyword search on evolving events. In: Dhillon, I.S., Koren. Y., Ghani, R., Senator, T.E., Bradley, P., Parekh, R., He, J., Grossman, R.L. (eds.) KDD 2013 - Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 1478–1481. ACM, New York (2013)

4. Boujelben, I.B.H.: Transformational analysis of arabic sentences. application to automatically extracted biomedical symptoms. In: Vučković, K., Bekavac, B., Silberztein, M (eds.) Formalising Natural Languages with NooJ. Selected Papers from the NooJ 2011 International Conference, pp. 182–194. Cambridge Scholars Publishing, Newcastle (2011)

5. Boujelben, I.B.H.: Transformational analysis of Arabic sentences. Application to automatically extracted biomedical symptoms. In: Vučković, K., Bekavac, B., Silberztein, M (eds.) Formalising Natural Languages with NooJ. Selected Papers from the NooJ 2011 International Conference, pp. 182–194. Cambridge Scholars Publishing, Newcastle (2011)

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