Twitter Financial News Sentiment Dataset
A Twitter dataset of 11,929 labeled financial tweets, collected by zeroshot via Twitter API. Each record contains tweet text, sentiment label (positive/negative/neutral), sentiment value (0/1/2), train/valid split. A labeled dataset of tweets about financial news, with sentiment annotations for stock market-related content. Suitable for sentiment analysis, financial NLP, stock market prediction, social media analytics, natural language processing.
Cite this dataset at
twitter-financial-sentiment.echo.directory
Analytics
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Computed over the full corpus.
Record
Provenance
- Originally published at
- https://huggingface.co/datasets/zeroshot/twitter-financial-news-sentiment link checked
- Hosted copy
- Mirrored on echo.directory on 2026-10-02, 1.0 MB across 2 files. Checksums in MANIFEST.json.
How to cite
BibTeX
@misc{echo2026,
title = {ECHO: Exploratory Compendium of Humanity Online},
author = {Switzer, Braden and Zafarani, Reza},
year = {2026},
url = {https://echo.directory},
note = {Syracuse University}
}
@misc{zeroshot_twitter_financial_sentiment,
title = {Twitter Financial News Sentiment Dataset},
author = {zeroshot},
year = {2023},
howpublished = {\url{https://huggingface.co/datasets/zeroshot/twitter-financial-news-sentiment}}
} APA
Switzer, B., & Zafarani, R. (2026). ECHO: Exploratory Compendium of Humanity Online [Data repository]. Syracuse University. https://echo.directory
zeroshot (2023). Twitter Financial News Sentiment Dataset [Data set]. https://twitter-financial-sentiment.echo.directory/
MLA
Switzer, Braden, and Reza Zafarani. ECHO: Exploratory Compendium of Humanity Online. Syracuse University, 2026, echo.directory.
zeroshot. Twitter Financial News Sentiment Dataset. 2023, twitter-financial-sentiment.echo.directory/.