KDA: An unsupervised approach for analyzing keyphrases distance from news articles as a feature of keyphrase extraction
Automatic keyphrase extraction remains a significant and difficult issue in the current research domain because of the exponential explosion of information and internet sources. Various activities involving natural language processing and information retrieval systems greatly benefit from the use of...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2022
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/36844/1/KDA%20_%20An%20unsupervised%20approach%20for%20analyzing%20keyphrases%20distance%20from%20news%20articles%20as%20a%20feature%20of%20keyphrase%20extraction.pdf |