Study on Visit Sales Detection Using Similarity of Paragraph Vector

Rin Hirakawa, Yoshihisa Nakatoh
2018 Proceedings of The 6th IIAE International Conference on Intelligent Systems and Image Processing 2018   unpublished
In Japan, with the increase of elderly people living alone, it is a problem that elderly people get involved in consumer troubles in recent years. Troubles with which elderly people are most likely to get involved are bank transfer fraud and malicious visit sales. The former problem is being solved by research to detect fraud from telephone voice. However, there is still no technical solution for malicious visit sales. In this paper, we proposed a system to detect visit sales from conversation
more » ... from conversation voice of the user and visitor. In our system, cosine similarity of paragraph vector was adopted as criterion of visiting sales. The paragraph vector is acquired by inputting the conversation text output from speech recognition into Doc2Vec. In order to validate the proposed method, we conducted a classification experiment of conversation text. As a result, the area under the ROC curve was 0.92, and it was found that visited sales can be effectively detected by the proposed method.
doi:10.12792/icisip2018.011 fatcat:dpmzmsenp5byrn263rud2wxrlq