An annotated corpus of quoted opinions in news articles
Tim O’Keefe, James Curran, Peter Ashwell, Irena Koprinska · Meeting of the Association for Computational Linguistics · 2013
Quotes are used in news articles as evidence of a person’s opinion, and thus are a useful target for opinion mining. However, labelling each quote with a polarity score directed at a textually-anchored target can ignore the broader issue that the speaker is commenting on. We address this by instead labelling quotes as supporting or opposing a clear expression of a point of view on a topic, called a position statement. Using this we construct a corpus covering 7 topics with 2,228 quotes.