Sarcasm Detection in Tweets with BERT and GloVe Embeddings
Computation and Language
2024-09-05 v1 Machine Learning
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.
Cite
@article{arxiv.2006.11512,
title = {Sarcasm Detection in Tweets with BERT and GloVe Embeddings},
author = {Akshay Khatri and Pranav P and Anand Kumar M},
journal= {arXiv preprint arXiv:2006.11512},
year = {2024}
}
Comments
5 pages Submitted to ACL 2020 conference