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Covid-19 Media Sentiment Archive
Public Safety & Security
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About
This dataset contains a collection of online articles concerning Covid-19, originally published between May 2020 and September 2020. It is provided in a CSV file format and is primarily sourced from reputable news outlets such as 10news.com, cnn.com, and foxla.com. The primary objective of this dataset is to facilitate sentiment analysis studies, offering labelled text data to understand public sentiment during a critical period of the pandemic.
Columns
The dataset is structured with the following key columns:
- Id: A unique identifier for each entry.
- text: This column contains the full text content of the articles related to Covid-19.
- sentiment: This column provides a numerical label indicating the sentiment of the corresponding text. A value of 1 represents positive sentiment, while a value of 0 denotes negative sentiment.
Distribution
The dataset is distributed as a CSV file. It comprises 33,324 individual records, with each record consisting of article text and its associated sentiment label.
Usage
This dataset is ideally suited for various analytical tasks, including:
- Performing sentiment analysis on news articles.
- Training and evaluating natural language processing (NLP) models for text classification.
- Studying the evolution of public sentiment related to Covid-19 over the specified period.
- Developing applications that require pre-labelled text data for sentiment detection.
Coverage
The articles included in this dataset were published online during the period of May 2020 to September 2020. The content is derived from globally accessible online news sources, providing a broad perspective on Covid-19 reporting during that timeframe.
License
CC-BY
Who Can Use It
This dataset is valuable for a wide range of users, including:
- Data scientists and machine learning engineers for building and testing sentiment analysis models.
- Researchers studying public health communication, media sentiment, or the social impact of pandemics.
- Academics and students for educational purposes in NLP, data science, and public health informatics.
- Analysts seeking to understand media portrayal and public reaction to significant events.
Dataset Name Suggestions
- Covid-19 Article Sentiment Dataset
- Online Covid-19 News Sentiment
- Pandemic News Sentiment Analysis Corpus
- Covid-19 Media Sentiment Archive
Attributes
Original Data Source: Covid - 19 Online Articles
QUALITY