@inproceedings{281db5f315004132b62a335a629786cf,
title = "Combining social cognitive theories with linguistic features for multi-genre sentiment analysis",
abstract = "With the rapid development of social media and social networks, spontaneously user generated content like tweets and forum posts have become important materials for tracking people's opinions and sentiments online. In this paper we investigate the limitations of traditional linguistic-based approaches to sentiment analysis when applied to these informal genres. Inspired by various social cognitive theories, we combine local linguistic features and global social evidence in a propagation scheme to improve sentiment analysis results. Without using any additional labeled data, this new approach obtains significant improvement (up to 12\% higher accuracy) for various genres in the domain of presidential election.",
author = "Hao Li and Yu Chen and Heng Ji and Smaranda Muresan and Dequan Zheng",
year = "2012",
language = "英语",
isbn = "9789791421171",
series = "Proceedings of the 26th Pacific Asia Conference on Language, Information and Computation, PACLIC 2012",
pages = "127--136",
booktitle = "Proceedings of the 26th Pacific Asia Conference on Language, Information and Computation, PACLIC 2012",
note = "26th Pacific Asia Conference on Language, Information and Computation, PACLIC 2012 ; Conference date: 07-11-2012 Through 07-11-2012",
}