N-gram and Word2Vec Feature Engineering Approaches for Spam Recognition on Some Influential Twitter Topics in Saudi Arabia-Reference-Cited by-同舟云学术

N-gram and Word2Vec Feature Engineering Approaches for Spam Recognition on Some Influential Twitter Topics in Saudi Arabia

Published:2022-05-27 Issue: Volume: Page:
ISSN:
Container-title:2022 the 6th International Conference on Information System and Data Mining
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Author:

Balfagih Ahmed¹,Keselj Vlado²,Taylor Stacey²

Affiliation:

1. Faculty of Computer Science, Dalhousie University, Canada and Information System, Faculty of computing and Information Technology/ King Abdulaziz University, Saudi Arabia

2. Faculty of Computer Science, Dalhousie University, Canada

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3546157.3546173

Reference25 articles.

1. Varun Godinho . 2020. Two-thirds of Saudi Arabia's population is under the age of 35 . Gulf Business . Varun Godinho. 2020. Two-thirds of Saudi Arabia's population is under the age of 35. Gulf Business.

2. Between islamists and liberals: Saudi Arabia's new “islamo-liberal” reformists;Lacroix St´ephane;Middle East Journal.,2004

3. Bloomberg. 2017. Why apple citigroup and twitter will be tracking this arrest in Saudi Arabia. Bloomberg. 2017. Why apple citigroup and twitter will be tracking this arrest in Saudi Arabia.

4. Simon Kemp. 2021. Digital 2020: Global digital overview — datareportal – global digital insights. Simon Kemp. 2021. Digital 2020: Global digital overview — datareportal – global digital insights.

5. David Keyes. 2012. Saudi writer Hamza Kashgari faces charge of blasphemy after tweets about Muhammad.The Washington Post. David Keyes. 2012. Saudi writer Hamza Kashgari faces charge of blasphemy after tweets about Muhammad.The Washington Post.

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