SatiricLR: a Language Resource of Satirical News Articles
نویسندگان
چکیده
In this paper we introduce the Satirical Language Resource: a dataset containing a balanced collection of satirical and non satirical news texts from various domains. This is the first dataset of this magnitude and scope in the domain of satire. We envision this dataset will facilitate studies on various aspects of of satire in news articles. We test the viability of our data on the task of classification of satire.
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