ML Anthology

Just How Mad Are You? Finding Strong and Weak Opinion Clauses

Theresa Wilson, Janyce Wiebe, Rebecca Hwa
AAAI 2004 pp. 761-769
/aaai/2004/wilson2004aaai-just/

Abstract

There has been a recent swell of interest in the automatic identification and extraction of opinions and emotions in text. In this paper, we present the first experimental results classi-fying the strength of opinions and other types of subjectivity and classifying the subjectivity of deeply nested clauses. We use a wide range of features, including new syntactic fea-tures developed for opinion recognition. In 10-fold cross-validation experiments using support vector regression, we achieve improvements in mean-squared error over baseline ranging from 57 % to 64%.

PDF AAAI Semantic Scholar

Cite

Text

Wilson et al. "Just How Mad Are You? Finding Strong and Weak Opinion Clauses." AAAI Conference on Artificial Intelligence, 2004.

Markdown

[Wilson et al. "Just How Mad Are You? Finding Strong and Weak Opinion Clauses." AAAI Conference on Artificial Intelligence, 2004.](https://mlanthology.org/aaai/2004/wilson2004aaai-just/)

BibTeX

@inproceedings{wilson2004aaai-just,
  title     = {{Just How Mad Are You? Finding Strong and Weak Opinion Clauses}},
  author    = {Wilson, Theresa and Wiebe, Janyce and Hwa, Rebecca},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2004},
  pages     = {761-769},
  url       = {https://mlanthology.org/aaai/2004/wilson2004aaai-just/}
}