The document describes a rule-based approach to classifying the stance or belief expressed in blog entries on a given proposition. It involves parsing sentences, tagging elements that could impact veridicality (truth value), and applying rules to determine if the sentence asserts, denies or takes no stance on the proposition. An evaluation on blog posts about abortion showed the approach achieved 81% accuracy, better than a majority baseline. Future work includes expanding the approach with statistical methods and linguistic considerations.

1. Polling the Blogosphere: a Rule-Based Approach to Belief Classification Jason Kessler Indiana University, Bloomington

27. Implementation Veridicality Element Classes:

28. Veridicality Transformations