Name: Marcos Rodrigues Saúde
Type: MSc dissertation
Publication date: 29/09/2014
Advisor:

Namesort descending Role
Elias Silva de Oliveira Advisor *

Examining board:

Namesort descending Role
Claudine Santos Badue Internal Examiner *
Elias Silva de Oliveira Advisor *
Karin Satie Komati External Examiner *
Patrick Marques Ciarelli Co advisor *

Summary: The expansion of social media and the advent of Web 2.0 promoted the participation of persons interested in exposing their opinions on what it intends to discuss a collective environment or on any facts reported by the press . However, due to legal mechanisms to exert control over a particularly offensive punch, with expressions that attack personalities material,
it becomes of great interest to the classification of documents relating to comments entered by users of news sites, in order to identify which may or may not be disclosed in the digital environment, avoiding judicial providers demands of these environments. This work proposes the use of automatic classification techniques to identifying reviews the disclosure in the media
should be allowed or not, aiding humans in the work of comment moderation. For both, various techniques in data processing, such as reducing words to their canonical form, dimensionality reduction and weighting terms were explored. All these techniques have been studied in order to model an algorithm able to mimic human decisions to release or not the
comment.

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