Developing Corpora for Sentiment Analysis: The Case of Irony and Senti-TUT (Extended Abstract)
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.
@inproceedings{ijcai2015p587,
title = {Developing Corpora for Sentiment Analysis: The Case of Irony and Senti-TUT (Extended Abstract)},
author = {Bosco, Cristina and Patti, Viviana and Bolioli, Andrea},
booktitle = {Proceedings of the Twenty-Fourth International Joint Conference on
Artificial Intelligence, {IJCAI-15}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Qiang Yang and Michael Wooldridge},
pages = {4188---1},
year = {2015},
month = {7},
note = {Journal Track},
url = {https://ijcai.org/proceedings/2015/587},
}
TY - CPAPER TI - Developing Corpora for Sentiment Analysis: The Case of Irony and Senti-TUT (Extended Abstract) AU - Bosco, Cristina AU - Patti, Viviana AU - Bolioli, Andrea T2 - Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-15 PB - International Joint Conferences on Artificial Intelligence PY - 2015 SP - 4188 EP - -1 UR - https://ijcai.org/proceedings/2015/587 ER -Copied
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