| 摘 要: 现如今，自然语言处理技术不仅可以实现人机对话，还能从对话中提取出用户所表达的情感。本文中所 介绍的对话系统将以上两项技术结合起来，使用Web开发相关技术构建了一个功能较为完备的多功能对话系统，不仅具 有查询天气、新闻、一对一闲聊等基础功能，还可以将用户的实时情绪统计展示出来，进而分析用户情绪变化趋势生成 图表。本文对此系统整体设计和实现过程中用到的HTML、Django和数据库等相关技术进行了详细说明。 |
| 关键词: 对话系统 情感分析 Django |
|
中图分类号: TP311.1
文献标识码: A
|
| 基金项目: 本文受国家级大学生创新创业训练计划资助项目(201810145178)资助. |
|
| Design and Implementation of Emotion-Recognition Multi-Functional Dialogue System |
|
WANG Mingjian,LIANG Haochun,GAO Dazheng,FENG Shi
|
( School of Computer Science and Engineering, Northeastern University, Shenyang 110819, China)
|
| Abstract: Nowadays,natural language processing technology can not only realize man-machine dialogue but also analyze the emotions expressed in the dialogue process.The dialogue system introduced in this paper combines these two technologies together,building a multi-functional dialogue system with not only the basic functions of weather query,news and one-on-one chat,but also the function of displaying the user’s real-time emotion statistics to analyze the user's emotional trend and to generate a chart.This paper elaborates on the related technologies such as HTML,Django and database used in the overall design and implementation of the system. |
| Keywords: dialogue system sentiment analysis Django |
