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Developing Corpora for Sentiment Analysis: The Case of Irony and Senti–TUT (Extended Abstract)

2019-11-21 | |  53 |   40 |   0
Abstract This paper focusses on the main issues related to the development of a corpus for opinion and sentiment analysis, with a special attention to irony, and presents as a case study Senti–TUT, a project for Italian aimed at investigating sentiment and irony in social media. We present the Senti–TUT corpus, a collection of texts from Twitter annotated with sentiment polarity. We describe the dataset, the annotation, the methodologies applied and our investigations on two important features of irony: polarity reversing and emotion expressions.

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