Paper: An annotated corpus of quoted opinions in news articles

ACL ID P13-2092
Title An annotated corpus of quoted opinions in news articles
Venue Annual Meeting of the Association of Computational Linguistics
Session Short Paper
Year 2013
Authors

Quotes are used in news articles as evi- dence of a person?s opinion, and thus are a useful target for opinion mining. How- ever, labelling each quote with a polarity score directed at a textually-anchored tar- get can ignore the broader issue that the speaker is commenting on. We address this by instead labelling quotes as support- ing or opposing a clear expression of a point of view on a topic, called a position statement. Using this we construct a cor- pus covering 7 topics with 2,228 quotes.