Machine learning approach for identification of threat content in audio messages shared on social media-Reference-Cited by-同舟云学术

Machine learning approach for identification of threat content in audio messages shared on social media

Published:2020-01-02 Issue:1 Volume:23 Page:83-93
ISSN:0972-0529
Container-title:Journal of Discrete Mathematical Sciences and Cryptography
language:en
Short-container-title:Journal of Discrete Mathematical Sciences and Cryptography

Author:

Al-Tameem Ayman bin Abdulaziz¹,Saudagar Abdul Khader Jilani²

Affiliation:

1. Department of Computer Science, College of Applied Studies and Community Service, King Saud University, Riyadh 22459, Saudi Arabia

2. Department of Information Systems, College of Computer & Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh 11432, Saudi Arabia

Publisher

Informa UK Limited

Subject

Applied Mathematics,Algebra and Number Theory,Analysis

Link

https://www.tandfonline.com/doi/pdf/10.1080/09720529.2020.1721876

Reference5 articles.

1. Deep learning

2. Sentiment classification of twitter data belonging to renewable energy using machine learning

3. News literacy, social media behaviors, and skepticism toward information on social media

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