---
title: "Developing Corpora for Sentiment Analysis: The Case of Irony and Senti-TUT (Extended Abstract)"
authors:
  - "Cristina Bosco"
  - "Viviana Patti"
  - "Andrea Bolioli"
doi: ""
url: "https://ijcai.org/proceedings/2015/587"
pdf: "https://ijcai.org/proceedings/2015/0587.pdf"
venue: "Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence"
year: 2015
pages: "4188--1"
track: "Journal Track"
keywords:
---

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

Cristina Bosco, Viviana Patti, Andrea Bolioli

*Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence*, 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.