  This paper describes our dialogue robot system, OSbot, developed for Dialogue
Robot Competition 2022. The dialogue flow is based on state transitions
described manually and the transition conditions use the results of keyword
extraction and sentiment analysis. The transitions can be easily viewed and
edited by managing them on a spreadsheet. The keyword extraction is based on
named entity extraction and our predefined keyword set. The sentiment analysis
is text-based and uses SVM, which was trained with the multimodal dialogue
corpus Hazumi. We quickly checked and edited a dialogue flow by using a logging
function. In the competition's preliminary round, our system ended up in third
place.
