Machine learning approach for threat detection on social media posts containing Arabic text

Author:

AlAjlan Shatha AbdulAziz,Saudagar Abdul Khader JilaniORCID

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Vision and Pattern Recognition,Mathematics (miscellaneous)

Reference47 articles.

1. Abadi M, Barham P, Chen J, Chen Z, Davis A, Dean J, Devin M, Ghemawat S, Irving G, Isard M, Kudlur M, Levenberg J, Monga R, Moore S, Murray DG, Steiner B, Tucker P, Vasudevan V, Warden P, Wicke M, Yu Y, Zheng X (2016) TensorFlow: a system for large-scale machine learning, pp 265–283

2. Adel HM (2019) Arabic text classification: a review. Modern Appl Sci. https://doi.org/10.5539/mas.v13n5p88

3. Amin MZ, Nadeem N (2018) Convolutional neural network: text classification model for open domain question answering system. arXiv preprint arXiv:1809.02479

4. Ayah S (2019) Deep learning for sentiment analysis of arabic text. In: ArabWIC 2019: proceedings of the ArabWIC 6th annual international conference, pp 1–8

5. Bengio Y, Goodfellow IJ, Courville A (2015) Deep learning. Nature 521:436–444

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