PhD Defense: «Exploiting multiple sources of evidence for opinion search in the Web»

In this thesis we study Opinion Mining and Sentiment Analysis and propose a fine-grained analysis of the opinions conveyed in texts. Concretely, the aim of this research is to gain an understanding on how to combine different types of evidence to effectively determine ontopic opinions in texts. To meet this aim, we consider content-match evidence, obtained at document and passage level, as well as different structural aspects of the text.