Generating Personalized Dialogues Based on Conversation Log Summarization and Sentiment Analysis
Sinan Chen, Masahide Nakamura
Abstract
The number of elderly people living at home (requiring nursing care or living alone) has been increasing due to the aging of society in recent years. As the elderly stay at home for long periods of time, their connection with the local community becomes less and less, and loneliness becomes a serious problem. In our research group, we are developing a system that allows elderly people to interact with the virtual agent. The purpose of this paper is to develop a method for generating personalized dialogue in order to realize continuous and sentimental dialogue. As the approach, morphological analysis and sentiment analysis are performed on the dialogue content (text) obtained from speech recognition. Then, we present a new method for generating personalized dialogues based on related conversation log summarization. In this way, it is promising to realize smarter personalized dialogues that do not rely on manual creation.