This is the sentiment analysis dataset based on IMDB reviews initially released by Stanford University.

```
This is a dataset for binary sentiment classification containing substantially more data than previous benchmark datasets. 
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. 
Raw text and already processed bag of words formats are provided. See the README file contained in the release for more details.
```

[Here](http://ai.stanford.edu/~amaas/data/sentiment/) is the redirection.

```
@InProceedings{maas-EtAl:2011:ACL-HLT2011,
  author    = {Maas, Andrew L.  and  Daly, Raymond E.  and  Pham, Peter T.  and  Huang, Dan  and  Ng, Andrew Y.  and  Potts, Christopher},
  title     = {Learning Word Vectors for Sentiment Analysis},
  booktitle = {Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies},
  month     = {June},
  year      = {2011},
  address   = {Portland, Oregon, USA},
  publisher = {Association for Computational Linguistics},
  pages     = {142--150},
  url       = {http://www.aclweb.org/anthology/P11-1015}
}
```
license:other region:us
{"license": "other"}
TAGS
#license-other #region-us 

This is the sentiment analysis dataset based on IMDB reviews initially released by Stanford University.



Here is the redirection.


TAGS
#license-other #region-us 

passage: TAGS
#license-other #region-us 
