Text classification is a fundamental task in natural language processing. It involves categorizing text into predefined classes. Here are some popular datasets used for text classification:
- IMDb Dataset: This dataset contains 50,000 movie reviews, each labeled as positive or negative. It is widely used for sentiment analysis tasks.
- 20 Newsgroups Dataset: This dataset consists of 20,000 newsgroup documents, each belonging to one of 20 categories. It is useful for multi-class classification tasks.
- AG News Dataset: This dataset contains 1,000,000 news articles, categorized into 40 topics. It is a large-scale dataset suitable for text classification research.
For more information on text classification datasets, you can visit our datasets page.
Text Classification