Papers by Gustavo Sousa
SMS Spam Detection Through Skip-gram Embeddings and Shallow Networks (2021.findings-acl)
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| Challenge: | Existing methods for detecting SMS spam include CNN, Recurrent Neural Networks and CNN. |
| Approach: | They propose a technique for embedding SMS messages into vector spaces suitable for spam detection. |
| Outcome: | The proposed method is competitive with state-of-the-art methods on a UCI Spam Collection dataset. |