Abstract
In this paper we clarify the factor of the scenario that the English conversation robot should have and factor of the impression after it talks. The factor analysis and text Mining are used for the analysis. The data structure to be analyzed is clarified by classifying the targeted text data into the group of the one which the content is near, and showing the word used in the feature in the attribute such as another of the classified group and character ages statistically.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
