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Towards automatically detection of blog comment spamming

Grant number: 13/10005-0
Support Opportunities:Scholarships in Brazil - Scientific Initiation
Start date: September 01, 2013
End date: August 31, 2014
Field of knowledge:Physical Sciences and Mathematics - Computer Science - Computer Systems
Principal Investigator:Tiago Agostinho de Almeida
Grantee:Túlio Casagrande Alberto
Host Institution: Centro de Ciências e Tecnologias para a Sustentabilidade (CCTS). Universidade Federal de São Carlos (UFSCAR). Sorocaba , SP, Brazil

Abstract

With the increasing volume of information available on the web, blogs have become a rich source of information and communication. Besides offering quick information access and exempt specific knowledge such as HTML and CSS by their authors, blogs have a strong feature of allowing interaction with readers who leave comments and sometimes develop habits of frequently accessing them. Some blogs specialize in specific subjects, gaining credibility and becoming references in the area. In this universe, called the blogosphere, unwanted comments have degraded the personal experience of Internet users and can cause economic losses to the blog authors. Some techniques have been proposed for automatic detection of blog comment spam, but the constant evolution of the mechanisms employed by spammers requires more generic and efficient classification methods. Another problem is that due to the recent nature of the problem, there is still no consensus in the literature which are the most appropriate methods and attribute sets. To fill these important gaps, this project aims to analyze the performance of several well-known classification methods, besides proposing and evaluating different models of representation and attribute sets that can be extracted from the blogs and can be used by the machine learning techniques. (AU)

News published in Agência FAPESP Newsletter about the scholarship:
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Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
ALBERTO, TULIO C.; LOCHTER, JOHANNES V.; ALMEIDA, TIAGO A.. Post or Block? Advances in Automatically Filtering Undesired Comments. JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, v. 80, n. 1, SI, p. S245-S259, . (13/10005-0)
ALBERTO, TULIO C.; LOCHTER, JOHANNES V.; ALMEIDA, TIAGO A.. Post or Block? Advances in Automatically Filtering Undesired Comments. JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, v. 80, p. 15-pg., . (13/10005-0)