The contribution of stylistic information to content-based mobile spam filtering
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Association for Computational Linguistics
Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Spam SMS filtering based on text features and supervised machine learning techniques;Multimedia Tools and Applications;2022-05-04
2. Marginal Attacks of Generating Adversarial Examples for Spam Filtering;Chinese Journal of Electronics;2021-07
3. Bi-Term Topic Model for SMS Classification;International Journal of Business Data Communications and Networking;2017-07
4. Mobile Spam Filtering base on BTM Topic Model;Advances on P2P, Parallel, Grid, Cloud and Internet Computing;2016-10-22
5. A novel feature extraction approach in SMS spam filtering for mobile communication: one-dimensional ternary patterns;Security and Communication Networks;2016-10-19
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