Visual Analysis of the Research Status of Intelligent Question Answering System

Abstract

As a new type of question retrieval method, intelligent question answering can provide users with answers to the questions they need in a short time. The rapid development of the Internet makes the emergence of intelligent question answering systems inevitable and lays the foundation for their extensive application in various fields. This article uses Citespace to visually analyze more than 500 academic papers in the field of intelligent question and answer from 2010 to 2020 included in Web of Science and IEEE access, including the distribution of countries, institutions, and authors, as well as keyword and research topic clustering, etc., in order to obtain the Field research hotspots and future development trends. On this basis, it focuses on the summary of intelligent question answering based on knowledge graph and intelligent question answering with sentiment analysis, providing a reference for the close integration of intelligent question answering with knowledge graph and sentiment analysis.