Polarity Contrast for the Detection of Verbal Irony
نویسندگان
چکیده
In this paper, we propose two metrics capable of modeling forms of polarity contrast: polarity divergence and polarity dimorphism. To explore their potential usefulness to the detection of verbal irony and sentiment polarity, we performed an exploratory text analysis on a corpus of figurative tweets annotated by sentiment. The results of a text analysis show that, employing two different types of valenced lexicon, we can improve performance in polarity classification.
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