Language-model-based pro/con classification of political text
Generate an AI Snapshot to get a quick, structured summary of this paper.
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
TL;DR
Given a controversial political topic, the aim is to classify documents debating the topic into pro or con by using topic related terms and pairs of topic related and pro/con related terms as the basis for constructing a pro query and a con query.
Abstract
Given a controversial political topic, our aim is to classify documents debating the topic into pro or con. Our approach extracts topic related terms, pro/con related terms, and pairs of topic related and pro/con related terms and uses them as the basis for constructing a pro query and a con query. Following standard LM techniques, a document is classified as pro or con depending on which of the query likelihoods is higher for the document. Our experiments show that our approach is promising.