Analysis and Prediction of Stock Market Using Twitter Sentiment and DNN-Reference-Cited by-同舟云学术

Analysis and Prediction of Stock Market Using Twitter Sentiment and DNN

Published:2019-10-19 Issue: Volume: Page:38-45
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Sahana T. P.,Anuradha J.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-30465-2_5

Reference14 articles.

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2. Aramaki, E., Maskawa, S., Morita, M.: Twitter catches the flu: detecting influenza epidemics using Twitter. In: Proceedings of the Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics (2011)

3. Bollen, J., Mao, H., Zeng, X.: Twitter mood predicts the stock market. J. Comput. Sci. 2(1), 1–8 (2011)

4. Qian, B., Rasheed, K.: Stock market prediction with multiple classifiers. Appl. Intell. 26(1), 25–33 (2007). https://doi.org/10.1007/s10489-006-0001-7

5. Fama, E.F.: The behavior of stock-market prices. J. Bus. 38(1), 34105 (1965). https://doi.org/10.2307/2350752

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