Tweet Relevance Based on the Theory of Possibility

Author:

Meriem Amina Ben,Hlaoua Lobna,Romdhane Lotfi Ben

Publisher

Springer International Publishing

Reference16 articles.

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3. Crayston, T.: Textrazor: Technology

4. Duan, Y., Jiang, L., Qin, T., Zhou, M., Shum, H.Y.: An empirical study on learning to rank of tweets. In: Proceedings of the 23rd International Conference on Computational Linguistics, pp. 295–303. Association for Computational Linguistics (2010)

5. Goldberg, Y., Levy, O.: word2vec explained: deriving mikolov et al’.s negative-sampling word-embedding method. arXiv preprint arXiv:1402.3722 (2014)

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