Baselight

Covid - 19 Online Articles

Sentiment Analysis of Covid-19 Articles

@kaggle.saurabhshahane_covid_19_online_articles

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About this Dataset

Covid - 19 Online Articles

Context

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.

Content

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.

Acknowledgements

Akpatsa, Samuel Kofi (2021), “Covid-19 Online Articles Dataset”, Mendeley Data, V2, doi: 10.17632/r6nn5s37tp.2

Inspiration

Perform Sentiment Analysis

Tables

Covid 19 Articles Data

@kaggle.saurabhshahane_covid_19_online_articles.covid_19_articles_data
  • 24.55 MB
  • 33324 rows
  • 3 columns
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CREATE TABLE covid_19_articles_data (
  "unnamed_0" BIGINT,
  "text" VARCHAR,
  "sentiment" BIGINT
);

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