A Review of SMS Spam Detection Using Features Selection-Reference-Cited by-同舟云学术

A Review of SMS Spam Detection Using Features Selection

Published:2022-07 Issue: Volume: Page:
ISSN:
Container-title:2022 Fifth International Conference on Computational Intelligence and Communication Technologies (CCICT)
language:
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Author:

Jain Himani¹,Maurya Rajesh Kumar¹

Affiliation:

1. ABES Engineering College, NH-9,Near Crossing Republic,Department of Computer Applications,Ghaziabad,INDIA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9913511/9913512/09913527.pdf?arnumber=9913527

Reference20 articles.

1. Spam Detection in Social Media using Machine Learning Algorithm E-ISSN;biyani;International Journal for Research in Applied Science & Engineering Technology (IJRASET)”,0

2. Multi-contextual spammer detection for online social networks

3. Spam Detection in Social Media Employing Machine Learning Tool for Text Mining;zaman;“2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)”,0

4. An Efficient Spam SMS Analysis Model based on Multinomial Naïve Bayes model Using Passive Aggressive Algorithm;shobana;“Journal of Physics Conference Series”,0

5. Using Social Networks to Detect Malicious Bangla Text Content

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