A N-gram based approach to auto-extracting topics from research articles
A lot of manual work goes into identifying a topic for an article. With a large volume of articles, the manual process can be exhausting. Our approach aims to address this issue by automatically extracting topics from the text of large numbers of articles. This approach takes into account the effici...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Published: |
IOS Press
2022
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/41023/ |
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