Twitter-based selection of topics that users are interested in but are not familiar with
Yuya Sakai, Mitsuharu Matsumoto · 2021
This paper describes topic decision system to select topics that users are interested in but are not familiar with. In recent years, dialogue systems have been implemented in various devices such as smart phones and robots. Although many of them are categorized into task oriented dialogue systems, non task oriented dialogue systems are also important for longterm human-system interaction. Many dialogue systems are also question answering systems, that is, the user inputs a question and the dialogue system returns its answer. However, it is important that the dialogue system can start the conversation to users especially in non task oriented dialogue systems. Adequate topics are required to start the conversation in such cases. We therefore aim to construct a topic decision system. In this study, we define adequate topics as the topics that users are interested in but are not familiar with and propose a topic decision system using the keyword search function of Twitter.