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--- |
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license: other |
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--- |
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This is the sentiment analysis dataset based on IMDB reviews initially released by Stanford University. |
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``` |
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This is a dataset for binary sentiment classification containing substantially more data than previous benchmark datasets. |
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We provide a set of 25,000 highly polar movie reviews for training, and 25,000 for testing. There is additional unlabeled data for use as well. |
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Raw text and already processed bag of words formats are provided. See the README file contained in the release for more details. |
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``` |
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[Here](http://ai.stanford.edu/~amaas/data/sentiment/) is the redirection. |
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``` |
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@InProceedings{maas-EtAl:2011:ACL-HLT2011, |
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author = {Maas, Andrew L. and Daly, Raymond E. and Pham, Peter T. and Huang, Dan and Ng, Andrew Y. and Potts, Christopher}, |
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title = {Learning Word Vectors for Sentiment Analysis}, |
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booktitle = {Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies}, |
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month = {June}, |
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year = {2011}, |
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address = {Portland, Oregon, USA}, |
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publisher = {Association for Computational Linguistics}, |
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pages = {142--150}, |
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url = {http://www.aclweb.org/anthology/P11-1015} |
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} |
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``` |
