A comparison of word embedding-based extraction feature techniques and deep learning models of natural disaster messages classification
The research aims to compare the classification performance of natural disaster messages classification from Twitter. The research experiment covers the analysis of three-word embedding-based extraction feature techniques and five different models of deep learning. The word embedding techniques tha...
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| Main Authors: | , , , , |
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| Format: | Artigo |
| Language: | Inglês |
| Published: |
Lublin University of Technology
2023-06-01
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| Series: | Journal of Computer Sciences Institute |
| Subjects: | |
| Online Access: | https://ph.pollub.pl/index.php/jcsi/article/view/3322 |
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