Evaluation of Communication and Travel Behavior Extraction with Latent Topics

This study proposed the habitual behavior information extraction method from the data on Internet to build effective behavioral change support system so far. It is well known that habitual behavior improvement is important to avoid risk behaviors for a safety driving and a health improvement. It used Latent Dirichlet Allocation approach and evaluated by using telecommunication behaviors in Question and answering Web sites. This paper describes another evaluation by using travel behavior information. On the other hand, the dependency relation is often used to extract valuable information from text data. It also shows the comparative evaluation between our proposed method and the dependency relation method. It is realized the proposed method is more accurate than the dependency relation method according to the result of the evaluation.