Clues for Detecting Irony in User-Generated Contents: Oh...!! It’s “so easy" ;-) - Archive ouverte HAL Access content directly
Conference Papers Year : 2009

Clues for Detecting Irony in User-Generated Contents: Oh...!! It’s “so easy" ;-)

Abstract

We investigate the accuracy of a set of surface patterns in identifying ironic sentences in comments submitted by users to an on-line newspaper. The initial focus is on identifying irony in sentences containing positive predicates since these sentences are more exposed to irony, making their true po-larity harder to recognize. We show that it is possible to find ironic sentences with relatively high precision (from 45% to 85%) by exploring certain oral or gestural clues in user comments, such as emoticons, onomatopoeic expressions for laughter, heavy punctuation marks, quotation marks and positive interjections. We also demonstrate that clues based on deeper linguistic information are relatively inefficient in capturing irony in user-generated content, which points to the need for exploring additional types of oral clues.
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Dates and versions

hal-01107892 , version 1 (22-01-2015)

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Paula Cristina Carvalho, Luís Sarmento, Mário J. Silva, Eugénio de Oliveira. Clues for Detecting Irony in User-Generated Contents: Oh...!! It’s “so easy" ;-). Text Sentiment Analysis (TSA'09), 2009, Hong Kong, China. ⟨10.1145/1651461.1651471⟩. ⟨hal-01107892⟩
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