Stanford Sentiment Analysis
- Last Updated: 7/7/2014 12:00:00 AM
- Site: http://nlp.stanford.edu:8080/sentiment/rntnDemo.html
The Stanford NLP Group's Sentiment Analysis tool is a free, web based live demo based on a sentiment analysis treebank, trained to predict the sentiment in movie reviews. Users can test out the sentiment analysis model with their own text in the box provided. The dataset and code is available for download, and the sentiment analysis model is now integrated into Stanford CoreNLP.
Documentation
Creator(s): Richard Socher, Alex Perelygin, Jean Wu, Jason Chuang, Christopher Manning, Andrew Ng and Christopher Potts (Stanford NLP Group)
Creator's Site: http://nlp.stanford.edu/
Creator's Email:
Repository:
Attributes
- Type of analysis: Natural Language Processing Analysis Content Analysis
- Type of license: Free
- Background Processing: Not Applicable
- Web Usable: Run in Browser
- Ease of Use: Very Easy
- Warning: Prototype
- Tool Family: Stanford NLP
- TaDiRAH Goals: Analysis
- TaDiRAH Methods: Content Analysis
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The live demo is currently down.
More information can be found in the following pages:
https://nlp.stanford.edu/sentiment/
https://nlp.stanford.edu/sentiment/code.html
The current model is integrated into Stanford CoreNLP as of version 3.3.0 or later, which is still downloadable on the website.