Product Quality and Safety Incident Information Tracking Based on Web News
Yuexiang Yang, Yiyang Wang, Shan Hu Yu, Jing Qi, Huali Cai · Journal of Convergence Information Technology · 2013
In recent years, product quality and safety events happened frequently, which poses a threat to the health and property safety of consumers. With the development of the Internet, Web news has become one of the important channels for information release regarding product quality and safety issues. Therefore, identifying and tracking these incidents information plays an important role in providing early warning for product quality and safety problems. In this paper, through the analysis of the characteristics of Web news regarding product quality and safety incidents, an event-based multivector text representation model has been established, and a corresponding similarity calculation method has been developed. Based on K-Nearest Neighbor classification algorithm, a topic-tracking model has been set up, and finally the effectiveness of the model has been verified via the design of experiments.