A comparative study on embedding models for keyword extraction using keyBERT method
KeyBERT is a method for keywords/keyphrases extraction, which has three steps. The first step is selecting candidate keywords from a text using sklearn library, the second step is the embedding operation of the text and its candidate keywords; this operation is done by BERT to get a numerical repres...
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| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | en |
| Published: |
2023 IEEE 13th International Conference on System Engineering and Technology (ICSET)
2023
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| Subjects: | |
| Online Access: | https://eprints.ums.edu.my/id/eprint/44760/1/FULLTEXT.pdf https://eprints.ums.edu.my/id/eprint/44760/ https://ieeexplore.ieee.org/document/10295108 |
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