Recognizing Euphemisms and Dysphemisms Using Sentiment Analysis
Recognizing Euphemisms and Dysphemisms Using Sentiment Analysis
复制标题
使用情感分析识别委婉语和非委婉语
DOI：
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发表时间：
2020
期刊：
影响因子：
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通讯作者：
E. Riloff
中科院分区：
文献类型：
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作者：
C. Felt;E. Riloff
本文提出了第一项旨在通过自然语言处理识别委婉和含蓄短语的研究。委婉语可以软化敏感、令人不快或禁忌的话题。相反，dyshemisms 以严厉或粗鲁的方式指代敏感话题。例如，“去世”和“离开”是死亡的委婉说法，而“嘎嘎叫”和“六英尺以下”是死亡的委婉说法。我们的工作探索使用情感分析来识别委婉和含蓄的语言。首先，我们使用语义词典归纳的引导算法来识别三个主题（解雇、说谎和偷窃）的近同义词短语。接下来，我们使用词汇情感线索和上下文情感分析将短语分类为委婉语、语气词或中性语。我们引入了一个新的黄金标准数据集，并展示了我们针对此任务的实验结果。
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.