Sentiment Analysis for Twitter: TASS 2015
نویسندگان
چکیده
In this paper we present experiments for global polarity classification task of Spanish tweets for TASS 2015 challenge. In our methodology, tweets representation is focused on linguistic and polarity features such as lemmatized words, filter of content words, rules of negation, among others. In addition, different transformations are used (LDA, LSI, and TF-IDF) and combined with a SVM classifier. The results show that LSI and TF-IDF representations improve the performance of the SVM classifier applied.
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