Abstract
In this paper we propound the use of a number of entropy-based metrics and a visualization tool for the intrinsic evaluation of Sentiment and Reputation Analysis tasks. We provide a theoretical justification for their use and discuss how they complement other accuracy-based metrics. We apply the proposed techniques to the analysis of TASS-SEPLN and RepLab 2012 results and show how the metric is effective for system comparison purposes, for system development and postmortem evaluation. © 2013 Springer-Verlag.
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CITATION STYLE
Valverde-Albacete, F. J., Carrillo-de-Albornoz, J., & Peláez-Moreno, C. (2013). A proposal for new evaluation metrics and result visualization technique for sentiment analysis tasks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8138 LNCS, pp. 41–52). https://doi.org/10.1007/978-3-642-40802-1_5
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