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

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Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence. Journal Track. Pages 4188--1.

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.

Cristina Bosco, Viviana Patti, and Andrea Bolioli. 2015. Developing Corpora for Sentiment Analysis: The Case of Irony and Senti-TUT (Extended Abstract). In Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-15. IJCAI, 4188–-1. https://ijcai.org/proceedings/2015/587
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