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Erschienen in:
2011 | OriginalPaper | Buchkapitel
Evaluating EmotiBlog Robustness for Sentiment Analysis Tasks
verfasst von : Javi Fernández, Ester Boldrini, José Manuel Gómez, Patricio Martínez-Barco
Erschienen in: Natural Language Processing and Information Systems
Verlag: Springer Berlin Heidelberg
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EmotiBlog
is a corpus labelled with the homonymous annotation schema designed for detecting subjectivity in the new textual genres. Preliminary research demonstrated its relevance as a Machine Learning resource to detect opinionated data. In this paper we compare
EmotiBlog
with the
JRC
corpus in order to check the
EmotiBlog
robustness of annotation. For this research we concentrate on its coarse-grained labels. We carry out a deep ML experimentation also with the inclusion of lexical resources. The results obtained show a similarity with the ones obtained with the
JRC
demonstrating the
EmotiBlog
validity as a resource for the SA task.