摘要
SimSimi是当前流行的智能聊天机器人,但是存在如回复需要用户训练、回复语句有限等问题。针对SimSimi存在的问题,提出一种利用微博作为语料库和基于中文文本分词的改进模型,能够解决SimSimi的部分问题,从理论上能给出质量更好的聊天效果。
SimSimi is now a popular artificial intelligence conversation robot. However, there are some problems with it, for example, it requires the training of users and it is unable to meet all the conversation needs. A new model based on text segmenta- tion and miero-blogging content is able to solve those problems of SimSimi, and is of a theoretically better performance.
出处
《计算机与现代化》
2013年第11期207-209,213,共4页
Computer and Modernization
关键词
智能聊天
文本分词
朴素贝叶斯分类
微博语料
artificial intelligence conversation
text segmentation
Naive Bayesian classification
micro-blogging content
