Sarcasm Discernment on Social Media Platform
نویسندگان
چکیده
Past studies in Sarcasm Detection mostly make use of Twitter datasets collected using hashtag-based supervision but such are noisy terms labels and language. To overcome the limitations related to noise datasets, this News Headlines dataset for is from two news website. TheOnion aims at producing sarcastic versions current events we all headlines Brief Photos categories (which sarcastic). We collect real (and non-sarcastic) Huff Post. on social media platform. The websites, theonion.com huffingtonpost.com. Since written by professionals a formal manner, there no spelling mistakes informal usage. This reduces sparsity also increases chance finding pre-trained embeddings. Furthermore, since sole purpose publish news, get high-quality with much less as compared datasets. Unlike tweets that reply other tweets, obtained self-contained.
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ژورنال
عنوان ژورنال: E3S web of conferences
سال: 2021
ISSN: ['2555-0403', '2267-1242']
DOI: https://doi.org/10.1051/e3sconf/202130901037