HaebinShin/stanford-sentiment-dataset
Refined dataset for Stanford Sentiment Treebank used in Yoon Kim (2014).
When you're building systems to automatically understand how people feel in written text, this dataset provides a comprehensive collection of movie review sentences. You get sentences pre-labeled with sentiment, ranging from very negative to very positive, or simplified as just positive or negative. This is ideal for researchers and practitioners creating or evaluating sentiment analysis models.
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Use this if you need a pre-labeled, standardized collection of text to train or test your sentiment analysis software.
Not ideal if you need sentiment data from a specific domain like social media, product reviews, or customer service interactions, as this dataset is focused on movie reviews.
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Apr 01, 2018
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