Covid-19 Online Articles Dataset
Published: 24 March 2021| Version 2 | DOI: 10.17632/r6nn5s37tp.2
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Description
This dataset is a collection of articles about Covid-19 published online from May 2020 to September 2020 and stored as a CSV file. The primary providers of these articles are 10news.com, cnn.com, and foxla.com. The dataset contains two columns (text and sentiment). The text column contains text from the articles to which a label applies. The sentiment column contains either the value 1 (positive class) for text with positive sentiment or the value 0 (negative class) for text with negative sentiment. The model used will be published in one of the journals later and will be found on my profile with the title: 'Sentiment Analysis of Covid-19 Articles; The Impact of Bidirectional Layer on Long Short-Term Memory (LSTM).'
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Institutions
University of Electronic Science and Technology of China
Categories
Natural Language Processing, Sentiment Analysis