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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Bibliographische Detailangaben
1. Verfasser: Tạ, Hoàng Thắng
Format: Conference paper
Sprache:English
Veröffentlicht: 2023
Online Zugang:http://scholar.dlu.edu.vn/handle/123456789/2006
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