Large Movie Review Dataset v1.0
Overview
This dataset contains movie reviews along with their associated binary
sentiment polarity labels. It is intended to serve as a benchmark for
sentiment classification. This document outlines how the dataset was
gathered, and how to use the files provided.
Dataset
The core dataset contains 25,000 reviews split into train, development
and test sets. The overall distribution of labels is roughly balanced.
Files
Each folder contains files with nnegative (neg) and positive (reviews).
One review per line.
Reference paper
@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}
}