Semantic Aspects in Sentiment Analysis
M. Nissima; V. Pattib a University of Groningen, Groningen, The Netherlandsb University of Turin, Torino, Italy
Abstract
Semantics plays an important role in the accurate analysis of the context of a sentiment expression. We analyze this role from two perspectives: the way semantics is encoded in sentiment resources, such as lexica, corpora, and ontologies, and the way it is used by automatic systems that perform sentiment analysis on social media data. Specifically, we review and discuss state-of-the-art methods and tools that rely on semantic models and resources, possibly enabling reasoning, so as to deal with some key challenges for sentiment analysis. Examples of such challenges are ...
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