Recognizing Euphemisms and Dysphemisms Using Sentiment Analysis

Christian Felt · Ellen Riloff

38 citations0/0 files storedWorkshop on Figurative Language Processing (FigLang)

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Abstract

This paper presents the first research aimed at recognizing euphemistic and dysphemistic phrases with natural language processing.Euphemisms soften references to topics that are sensitive, disagreeable, or taboo.Conversely, dysphemisms refer to sensitive topics in a harsh or rude way.For example, "passed away" and "departed" are euphemisms for death, while "croaked" and "six feet under" are dysphemisms for death.Our work explores the use of sentiment analysis to recognize euphemistic and dysphemistic language.First, we identify near-synonym phrases for three topics (FIRING, LYING, and STEALING) using a bootstrapping algorithm for semantic lexicon induction.Next, we classify phrases as euphemistic, dysphemistic, or neutral using lexical sentiment cues and contextual sentiment analysis.We introduce a new gold standard data set and present our experimental results for this task.

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References

2018Obtaining Reliable Human Ratings of Valence, Arousal, and Dominance for 20,000 English Words 1991Euphemism and Dysphemism: Language Used as Shield and Weapon 2008The connotations of English colour terms: Colour-based X-phemisms 1997Metaphor in using and understanding euphemism and dysphemism 2004How not to say what you mean: a dictionary of euphemisms

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2022Searching for PETs: Using Distributional and Sentiment-Based Methods to Find Potentially Euphemistic Terms 2021A diachronic evaluation of gender asymmetry in euphemism 2022Emotive lexicon of the political narrative: Ukraine and the West in Chinese media

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