Evaluating the Robustness of EmotiBlog for Sentiment Analysis and Opinion Mining
Estér Boldrini, Javier Fernández Martínez, Jose Manuel Gomez, Patricio Martínez-Barco · RUA, Repositorio Institucional de la Universidad de Alicante (Universidad de Alicante) · 2011
Preliminary research demonstrated the EmotiBlog annotated corpus relevance as a Machine Learning resource to detect subjective data. In this paper we compare EmotiBlog with the JRC Quotes corpus in order to check the robustness of its annotation. We concentrate on its coarse-grained labels and carry out a deep Machine Learning experimentation also with the inclusion of lexical resources. The results obtained show a similarity with the ones obtained with the JRC Quotes corpus demonstrating the EmotiBlog validity as a resource for the SA task. 1