The dataset is based on IMDB movie reviews.
We used machine translation, hence the quality is not ideal. However, it is good enough to be used for sentiment analysis purposes.
Text, label(0 - bad, 1 - good)
http://ai.stanford.edu/~amaas/data/sentiment/
@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} }
- Adil Aliyev(@adilek) [email protected]
- Rashad Aliyev(@RaSangDu) [email protected]