Abstract

Sentiment analysis is a valuable application of text classification because of the high volume of crowdsourced online content [1]. The typical texts targeted by sentiment analysis systems consist of opinions about an entity (e.g., individual, product, service). The value of sentiment analysis goes beyond classifying the polarity of a document; it resides in… (More)
DOI: 10.1007/978-3-319-24586-7_4

Cite this paper

@inproceedings{Ceci2015AdaptingSW, title={Adapting Sentiments with Context}, author={Fl{\'a}vio Ceci and Rosina O. Weber and Alexandre L. Gonçalves and Roberto Carlos dos Santos Pacheco}, booktitle={ICCBR}, year={2015} }