Abstract
Daily, a big data of media, thoughts and opinions can be noticed on Online Social Networks (OSN), resulting from their user’s interaction and sharing of information. In Brazil, this is strongly observed, as Brazilians are often active on the Internet. The business and academic communities around the world are aware of these events, due their possibilities to improve social customer relationship management. Therefore, this work aims to show a performance comparison between algorithms for Sentiment Analysis (SA), in their Portuguese and English versions, with datasets composed of Brazilian Portuguese comments from OSN, and their translations. The results highlight the need for proposals in specific language and Social Media context, given the performance presented by Portuguese version methods.
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Cirqueira, D., Jacob, A., Lobato, F., de Santana, A.L., Pinheiro, M. (2017). Performance Evaluation of Sentiment Analysis Methods for Brazilian Portuguese. In: Abramowicz, W., Alt, R., Franczyk, B. (eds) Business Information Systems Workshops. BIS 2016. Lecture Notes in Business Information Processing, vol 263. Springer, Cham. https://doi.org/10.1007/978-3-319-52464-1_22
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