Opinion search in spanish written press

Abstract

We describe a press reading tool that focuses on sayings or opinions in the news about topics and sources of the reader’s choice. This tool offers a graphical interface through which several sources can be linked given a certain topic and which allows readers to visualize opinions in a timeline and browse through them. This is done over a corpus that includes three Uruguayan written press media and integrates their current and previous editions. The opinion recognizer is mainly rule-based, with rules written in a formalism called Contextual Rules and machine learning methods and regular expressions rules were used during the different stages of the system. The accuracy of the system was evaluated with respect to the information retrieved, showing 76% precision.