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...
Tallennettuna:
| Päätekijä: | |
|---|---|
| Aineistotyyppi: | Conference paper |
| Kieli: | English |
| Julkaistu: |
2023
|
| Linkit: | http://scholar.dlu.edu.vn/handle/123456789/2006 |
| Tagit: |
Lisää tagi
Ei tageja, Lisää ensimmäinen tagi!
|
| Thư viện lưu trữ: | Thư viện Trường Đại học Đà Lạt |
|---|
Lisää ensimmäinen kommentti!