Cross-Lingual Concern Analysis from Multilingual Weblog Articles

Cross-lingual concern analysis system from multilingual Weblog (blog) articles is proposed. To find concerns of people is important in various domains such as business and education. On the other hand, various languages are appearing on the Internet. It is useful for supporting users to find various viewpoints on a topic across languages. The aim of this research is to facilitate users to find differences of concerns using multilingual blog articles. Our prototype system called KANSHIN collects and analyzes blog articles written in Chinese, Japanese, Korean, and English (CJKE). Users can find differences of focuses on a topic across languages because the system automatically translates keywords into other languages and retrieve articles in each language. An overview of the system, and preliminary results are described.