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Financial News Sentiment Dataset
Data Science and Analytics
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About
This dataset is a cleaned collection of 400 financial news articles, each expertly annotated for sentiment. It includes the full article text, synopsis, headline, and category features. The data was annotated by multiple readers possessing expertise in statistics, the Indian stock market, and data science. This particular data snippet was utilised in research titled "On Quantifying Sentiments of Financial News - Are We Doing the Right Things!". It is available as part of a free dataset library.
Columns
- Date_published: The date when the news article was published.
- Headline: The headline of the news article.
- Synopsis: A brief summary of the news article.
- Full_text: The complete news content contained within the article.
- Final Status: The sentiment assigned to each news article.
Distribution
The dataset is typically provided in CSV format. It comprises 400 financial news articles. The 'Date_published' column contains 399 unique values, while 'Final Status' has 400 unique values. The sentiment distribution is 54% positive and 46% negative.
Usage
Ideal for academic research, particularly for studies on quantifying financial news sentiments. It is also suitable for individuals looking to practise data cleaning and pre-processing techniques. This dataset supports applications in natural language processing (NLP), deep learning, and sentiment analysis tasks.
Coverage
The dataset covers a time range from 1st April 2022 to 30th June 2022. Its regional scope is global, despite some annotators having expertise in the Indian stock market.
License
CC-BY-SA
Who Can Use It
- Data Scientists and Analysts: For developing and testing sentiment analysis models.
- Researchers: For academic studies on financial market sentiment and NLP.
- Students: For practical exercises in data cleaning, pre-processing, and text analysis.
- Developers: Building applications requiring financial news sentiment.
Dataset Name Suggestions
- Financial News Sentiment Dataset
- Labelled Financial News Sentiment
- Expert-Annotated Financial News
- UK Financial Sentiment Corpus
- Financial News Article Sentiment
Attributes
Original Data Source: Sentiment Analysis - Labelled Financial News Data
QUALITY