Social Event Radar: A Bilingual Context Mining and Sentiment Analysis Summarization System

Social Event Radar is a new social networking-based service platform, that aim to alert as well as monitor any merchandise flaws, food-safety related issues, unexpected eruption of diseases or campaign issues towards to the Government, enterprises of any kind or election parties, through keyword expansion detection module, using bilingual sentiment opinion analysis tool kit to conclude the specific event social dashboard and deliver the outcome helping authorities to plan “risk control” strategy. With the rapid development of social network, people can now easily publish their opinions on the Internet. On the other hand, people can also obtain various opinions from others in a few seconds even though they do not know each other. A typical approach to obtain required information is to use a search engine with some relevant keywords. We thus take the social media and forum as our major data source and aim at collecting specific issues efficiently and effectively in this work.

• Type: Journal
• Year: 2012
• Where: ACL
• Authors: Wen-Tai Hsieh, Chen Ming Wu, Tsun Ku, Seng-cho Timothy Chou
• Keywords: ACL 2012, Analysis Tool Kit, Computational Linguistics, Social Networking, Unexpected Eruption