| | --- |
| | license: other |
| | --- |
| | 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} |
| | } |
| | ``` |
