ECNU at SemEval-2016 Task 6: Relevant or not? Supportive or not? A two-step learning system for automatic Detecting Stance in Tweets

Abstract

This paper describes our submissions to Task 6, i.e., Detecting Stance in Tweets, in SemEval 2016, which aims at detecting the stance of tweets towards given target. There are three stance labels: Favor (directly or indirectly by supporting given target), Against (directly or indirectly by opposing or criticizing given target), and None (none of the above). To address this task, we present a two-step learning system, which performs two steps, i.e., relevance detection and orientation detection, in a pipeline-based processing procedure. Our system ranked the 5th among 19 teams.