Comparative Experiments on Sentiment Classification for Online Product Reviews
Abstract
Evaluating text fragments for positive and negative subjective expressions and their strength can be important in applications such as single- or multi- document summarization, document ranking, data mining, etc. This paper looks at a simplified version of the problem: classifying online product reviews into positive and negative classes. We discuss a series of experiments with different machine learning algorithms in order to experimentally evaluate various trade-offs, using approximately 100K product reviews from the web.
Cite
Text
Cui et al. "Comparative Experiments on Sentiment Classification for Online Product Reviews." AAAI Conference on Artificial Intelligence, 2006.Markdown
[Cui et al. "Comparative Experiments on Sentiment Classification for Online Product Reviews." AAAI Conference on Artificial Intelligence, 2006.](https://mlanthology.org/aaai/2006/cui2006aaai-comparative/)BibTeX
@inproceedings{cui2006aaai-comparative,
title = {{Comparative Experiments on Sentiment Classification for Online Product Reviews}},
author = {Cui, Hang and Mittal, Vibhu O. and Datar, Mayur},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2006},
pages = {1265-1270},
url = {https://mlanthology.org/aaai/2006/cui2006aaai-comparative/}
}