COVID-19 News Articles

Citation Author(s):
Piyush
Ghasiya
Kyushu University
Koji
Okamura
Kyushu University
Submitted by:
Piyush Ghasiya
Last updated:
Tue, 05/17/2022 - 22:18
DOI:
10.21227/gdq8-ej60
Data Format:
*.csv
Research Article Link:
Investigating COVID-19 News Across Four Nations: A Topic Modeling and Sentiment Analysis Approach
License:
Creative Commons Attribution
1883 Views
Categories:
COVID-19
Machine Learning
Keywords:
COVID-19 News Sentiment Classification and Analysis; COVID-19 Topic Modeling
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Abstract 

This dataset is consist news articles related to COVID-19 from UK, India, Japan and South Korea newspapers. 

Instructions: 

All the files are in .csv format and can be directly to various Natural Language Processing tasks such as topic modeling and sentiment analysis.

Comments

In the Data file, two folders are present: 1) Sentiment Analysis and 2) Topic Modeling. The Sentiment Analysis folder contain 6 files: 1) All_Label_Covid_Headlines (CSV file), 2) checkpoint-03-0.9000.h5, 3) Headline_India (CSV file), 4) Headline_Japan (CSV file), 5) Headline_Korea (CSV file), and 6) Headline_UK (CSV file). The Topic Modeling folder contain 8 files: 1) India_Articles (CSV file), 2) India_Covid-19_Top2Vec_model, 3) Japan_Articles (CSV file), 4) Japan_Covid-19_Top2Vec_model, 5) Korea_Articles (CSV file), 6) Korea_Covid-19_Top2Vec_model, 7) UK_Articles (CSV file), and 8) UK_Covid-19_Top2Vec_model.

Submitted by Piyush Ghasiya on Wed, 01/20/2021 - 16:11

Great Dataset helping a lot

Submitted by Muhammad Jawwad on Mon, 06/06/2022 - 11:28

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