Tweet2Check evaluation at Evalita Sentipolc 2016
Emanuele Di Rosa, Alberto Durante · Accademia University Press eBooks · 2016
In this paper we present our Tweet2Check tool, provide an analysis of the experimental results obtained by our tool at the Evalita Sentipolc 2016 evaluation, and compare its performance with the state-of-the-art tools that participated to the evaluation. In the experimental analysis, we show that Tweet2Check is: (i) the second classified for the irony task, at a distance of just 0.0068 from the first classified; (ii) the second classified for the polarity task, considering the unconstrained runs, at a distance of 0.017 from the first tool; (iii) in the top 5 tools (out of 13), considering a score that allows to indicate the most complete-best performing tools for Sentiment Analysis of tweets, i.e. by summing up the best F-score of each team for the three tasks (subjectivity, polarity and irony); (iv) the second best tool, according to the former score, considering together polarity and irony tasks.