Abstract
In road traffic analysis, it has become possible to make a qualitative analysis by extracting road users' comments from microblogs, in addition to a quantitative analysis using the data obtained from diverse instruments installed on roads. Bearing utilization in abnormal situations in mind, it is necessary for the road administrator to be able to extract only highly authentic posts out of various posts instantly; however, since anyone can post microblogs freely, the authenticity of each post is unclear. This characteristic is harmful in utilizing microblogs in abnormal situations. In this research, a method for extracting the posters of authentic articles related to traffic phenomena was devised in terms of the poster's attribute and posting tendency, and its usefulness was verified.
