Jorge de la Peña – S3lab

Anti-troll tools and techniques (II)

Tue, 12 Jan 2016 10:57:14 +0000

In the last chapter of “Anti-troll tools and techniques”, we described a series of methods for detecting and filtering the so maddening troll users: (i) knowledge discovery, (ii) data mining and (iii) text mining. Here, we present a new batch of methods to carry out this arduous task. Feature selection, the influence of domain knowledge and domain-specific procedures play an important role in text mining. Therefore, an adaptation of known data mining algorithms based on the experience and results of research in information retrieval, natural language processing and information extraction is necessary. In all these areas, mining methods and statistical data also apply to manage their specific tasks.

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Anti-troll tools and techniques

Tue, 21 Jul 2015 09:57:47 +0000

In this new episode of our adventure to hunt for trol users, we will present a set of tools and techniques that can facilitate the detection and filtering of these Internet peers. Over recent years, the great speed with which the…

Troll hunting in the network

Tue, 25 Nov 2014 10:36:31 +0000

The social web has changed how the content is generated. Currently, users and readers of a site can create content. Users of social news sites make public links to news stories and every user can comment them. This fact has…