Mining Hidden Topics from Newspaper Quotations: The COVID-19 Pandemic
In this paper, we extract quotations from Al Jazeera’s news articles containing keywords related to the COVID-19 pandemic. We apply Latent Dirichlet allocation (LDA), coherence measures, and clustering algorithms to unsupervisedly explore latent topics from the dataset of about 3400 quotations to se...
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| Главный автор: | |
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| Формат: | Conference paper |
| Язык: | English |
| Опубликовано: |
2023
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| Online-ссылка: | http://scholar.dlu.edu.vn/handle/123456789/2006 |
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| Thư viện lưu trữ: | Thư viện Trường Đại học Đà Lạt |
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