This section provides an overview of the datasets commonly used for sentiment analysis tutorials. Sentiment analysis is the process of determining whether a piece of text is positive, negative, or neutral. The following datasets are widely recognized and used in the field:
- IMDb Movie Reviews: This dataset contains 50,000 movie reviews from the Internet Movie Database. The reviews are labeled as positive or negative.
- Twitter Sentiment Analysis Dataset: This dataset contains tweets and their corresponding sentiment labels (positive, negative, or neutral). The tweets are collected from the Twitter API and preprocessed for sentiment analysis.
- Sentiment140: This dataset contains 1.5 million tweets, each labeled with a sentiment score ranging from -1 (negative) to 1 (positive).
For more detailed information about these datasets, you can refer to the following resources:
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Sentiment Analysis Dataset