nproellochs/NegationDataset

Labeled sentences from IMDb movie reviews

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/ 100
Experimental

This dataset provides 500 movie review sentences from IMDb, where specific words or phrases have been manually marked to indicate whether they are negated or not. It's designed for researchers or data scientists who are building or evaluating machine learning models focused on natural language processing, particularly for tasks like sentiment analysis where understanding negation is crucial. You input raw text, and you get out the same text with negation labels for each word.

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Use this if you need a pre-labeled dataset of movie review text with explicit negation scopes for training or testing text analysis models.

Not ideal if you're looking for a general-purpose sentiment analysis dataset without specific negation scope annotations, or if your domain is not movie reviews.

sentiment-analysis text-classification natural-language-understanding computational-linguistics opinion-mining
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 7 / 25

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MIT

Last pushed

Jul 10, 2017

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Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/nlp/nproellochs/NegationDataset"

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