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The research of sentiment analysis has become fascinating with the support of emerging Internet language material. In this paper, irony in Chinese is investigated as a sentiment that has not been meticulously studied. We describe here a set of features and their computational formalization for detecting irony at a linguistic level. Comments from online forum are collected and detected whether ironical or not, with a logistic regression model. The efficacy and validity of our model is proved by comparison with other popular learning methods and statistical testing. The model achieves a performance close to state-of-the-art results in English and Italian from recall and accuracy perspective.

A Logistic Regression Model of Irony Detection in Chinese Internet Texts