ML Anthology

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

Cristina Bosco, Viviana Patti, Andrea Bolioli
IJCAI 2015 pp. 4188-
/ijcai/2015/bosco2015ijcai-developing/

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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Cite

Text

Bosco et al. "Developing Corpora for Sentiment Analysis: The Case of Irony and Senti-TUT (Extended Abstract)." International Joint Conference on Artificial Intelligence, 2015.

Markdown

[Bosco et al. "Developing Corpora for Sentiment Analysis: The Case of Irony and Senti-TUT (Extended Abstract)." International Joint Conference on Artificial Intelligence, 2015.](https://mlanthology.org/ijcai/2015/bosco2015ijcai-developing/)

BibTeX

@inproceedings{bosco2015ijcai-developing,
  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 = {International Joint Conference on Artificial Intelligence},
  year      = {2015},
  pages     = {4188-},
  url       = {https://mlanthology.org/ijcai/2015/bosco2015ijcai-developing/}
}