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Sarcasm Detection in Tweets with BERT and GloVe Embeddings
June 20, 2020 ยท Declared Dead ยท ๐ FIGLANG
"No code URL or promise found in abstract"
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Authors
Akshay Khatri, Pranav P, Anand Kumar M
arXiv ID
2006.11512
Category
cs.CL: Computation & Language
Cross-listed
cs.LG
Citations
51
Venue
FIGLANG
Last Checked
4 months ago
Abstract
Sarcasm is a form of communication in whichthe person states opposite of what he actually means. It is ambiguous in nature. In this paper, we propose using machine learning techniques with BERT and GloVe embeddings to detect sarcasm in tweets. The dataset is preprocessed before extracting the embeddings. The proposed model also uses the context in which the user is reacting to along with his actual response.
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