Sarcasm Detection in Tweets with BERT and GloVe Embeddings
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arXiv
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| Autori principali: | , , |
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| Natura: | Preprint |
| Pubblicazione: |
2020
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| _version_ | 1866917766569656320 |
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| author | Khatri, Akshay P, Pranav M, Anand Kumar |
| author_facet | Khatri, Akshay P, Pranav M, Anand Kumar |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2006_11512 |
| institution | arXiv |
| publishDate | 2020 |
| record_format | arxiv |
| spellingShingle | Sarcasm Detection in Tweets with BERT and GloVe Embeddings Khatri, Akshay P, Pranav M, Anand Kumar Computation and Language Machine Learning 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. |
| title | Sarcasm Detection in Tweets with BERT and GloVe Embeddings |
| topic | Computation and Language Machine Learning |
| url | https://arxiv.org/abs/2006.11512 |