S-Space Language Education Institute (언어교육원) Language Research (어학연구) Language Research (어학연구) Volume 52 Number 1/3 (2016)
담화관계를 기반으로 한 온라인 토론에서의 입장 분석 연구
Stance Classification of Online Debate Texts based on Discourse Relations
- 이상아; 신효필
- Issue Date
- Language Research, Vol.52 No.3, pp. 511-532
- online debate texts; stance classification; discourse relation; Korean debate text; machine learning
- Recently, there is an increasing demand for the analysis of mass opinions using online text data. In particular, many studies have focused on automatic recognition of the main idea of subjective, argumentative writing. Additionally, such automatization of this task is fast becoming indispensable. This study constructed text data using debates in Korean on certain political issues, and attempted to identify the stance that each text supports about a given topic. We collected words which support one stance over the other and used them as the features for a machine learning classifier with a dictionary of sentiment words annotated based on their polarities. We then calculated weights for each sub-unit in the text based on the relevant discourse relations. Our classifier resulted in a slight improvement with respect to the defined weights.