Topic modelling and sentiment analysis during Covid-19 pandemic response: A systematic review-Reference-Cited by-同舟云学术

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Topic modelling and sentiment analysis during Covid-19 pandemic response: A systematic review

Published:2023 Issue: Volume: Page:
ISSN:0094-243X
Container-title:THE PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON MARITIME EDUCATION AND TRAINING (The 5th ICMET) 2021
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Author:

Silalahi Sella Friscilla,Arini Hilya Mudrika,Mulyani Yun Prihantina

Publisher

AIP Publishing

Link

http://aip.scitation.org/doi/pdf/10.1063/5.0117344

Reference35 articles.

1. Who.int, 2020, Coronavirus, https://www.who.int/health-topics/coronavirus#tab=tab_1, accessed date July 19th, 2021.

2. Who.int, 2020, Coronavirus, https://www.who.int/health-topics/coronavirus#tab=tab_3, accessed date July 19th, 2021.

3. Who.int, 2021, Situation by Region, Country, Territory & Area, https://covid19.who.int/table, accessed date July 22nd, 2021.

4. A review on text mining

5. Latent Dirichlet allocation (LDA) for topic modeling of the CFPB consumer complaints

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1. Text classification technique for discovering country-based publications from international COVID-19 publications;DIGITAL HEALTH;2023-01

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