Towards filtering undesired short text messages using an online learning approach with semantic indexing

Author:

Silva Renato M.,Alberto Tulio C.,Almeida Tiago A.,Yamakami Akebo

Funder

FAPESP

Capes

CNPq

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference57 articles.

1. Semi-supervised learning using frequent itemset and ensemble learning for SMS classification;Ahmed;Expert Systems with Applications,2015

2. Post or block? Advances in automatically filtering undesired comments;Alberto;Journal of Intelligent & Robotic Systems,2015

3. Tubespam: Comment spam filtering on Youtube;Alberto,2015

4. An autonomous online malicious spam email detection system using extended rbf network;Ali,2015

5. Contributions to the study of SMS spam filtering: new collection and results;Almeida,2011

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