Intelligent Models for Mining Social Media Data-Reference-Cited by-同舟云学术

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Intelligent Models for Mining Social Media Data

Published:2021-12-10 Issue: Volume: Page:199-207
ISSN:2194-5357
Container-title:Advances on Smart and Soft Computing
language:
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Author:

Elyassami Sanaa,Albloushi Sultan,Alnuaimi Mohamed Ammar,Alhosani Omran,Al Ali Hassan,Almarashda Khalid

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-5559-3_17

Reference20 articles.

1. Elyassami, S., Kaddour, A.: Implementation of an incremental deep learning model for survival prediction of cardiovascular patients. IAES Int. J. Artif. Intell. 10(1), 101–109 (2021). ISSN 2252-8938

2. Elyassami, S., Hamid, Y., Habuza, T.: Road crashes analysis and prediction using gradient boosted and random forest trees. 2020 6th IEEE Congress on Information Science and Technology (CiSt), Agadir-Essaouira, Morocco, pp. 520–525 (2020). https://doi.org/10.1109/CiSt49399.2021.9357298

3. Felix, N., Hruschka, E., Hruschka, E.: Tweet sentiment analysis with classifier ensembles. Decis. Support Syst. 66 (2014). https://doi.org/10.1016/j.dss.2014.07.003

4. Sailunaz, K., Alhajj, R.: Emotion and sentiment analysis from Twitter text. J. Comput. Sci. 36, 101003 (2019). ISSN 1877-7503, https://doi.org/10.1016/j.jocs.2019.05.009

5. Martínez-Cámara, E., Martín-Valdivia, M., Ureña-López, L., Montejo-Ráez, A.: Sentiment analysis in Twitter. Nat. Lang. Eng. 20(1), 1–28 (2014). https://doi.org/10.1017/S1351324912000332

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