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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Comments

Jingwei Wang

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.

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