Datasets:
Noey Ignacio
commited on
docs: update dataset information
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README.md
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license: ecl-2.0
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---
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license: ecl-2.0
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task_categories:
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- text-classification
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language:
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- en
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- es
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tags:
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- public
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- text
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- education
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- sentiment-analysis
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pretty_name: Tweet Feels 1m4
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size_categories:
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- 1M<n<10M
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---
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# TweetFeels 1m4
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An 1-million-tweet sentiment corpus harvested from Twitter and annotated with four fine-grained categories: positive, negative, uncertainty, and litigious. Each record carries three clean, tab-separated fields:
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- **Language** – ISO-639 code of the tweet’s detected language
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- **Text** – the full tweet text, preserved with original casing and emojis
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- **Label** – one of {positive, negative, uncertainty, litigious} determined by an automated labelling pipeline
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The dataset covers multiple languages and informal, real-time expressions typical of Twitter, offering a sizeable, ready-to-use resource for multi-class sentiment and legal-tone modelling.
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**Acknowledgements**: The dataset is hosted on [Kaggle—Sentiment Dataset with 1 Million Tweets](https://www.kaggle.com/datasets/tariqsays/sentiment-dataset-with-1-million-tweets)
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