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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Bibliographic Details
Main Authors: Bayan Issa, Muhammed Basheer Jasser, Hui Na Chua, Muzaffar Hamzah
Format: Conference or Workshop Item
Language:en
Published: 2023 IEEE 13th International Conference on System Engineering and Technology (ICSET) 2023
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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