Uma Estratégia para Moderação de um Grande Conjunto de Comentários de Usuários.

• Ano de defesa: 2014
• Autor(a) principal: Saúde, Marcos Rodrigues
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal do Espírito Santo; BR; Mestrado em Informática; Centro Tecnológico; UFES; Programa de Pós-Graduação em Informática
• Palavras-chave em Português: Automatic moderation; Feature selection; Genetic algorithms; Moderação automática de comentários; Redução de dimensionalidade (Computação); Seleção de características (Computação); Algoritmo genético; Recuperação da informação; Documentos; Indexação automática; Mestrado em Informática; 004
• Link de acesso: http://repositorio.ufes.br/handle/10/4272

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.