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Title Chat Robot System Design Based
on Machine Learning
Abstract
With the development of the times and the continuous expansion of the Internet, mobile phones and computers have become the standard configuration of many people. More and more people use computers and mobile phones. When they are bored, they use mobile phones for entertainment. From the keymachine to the smart machine to the current cloud intelligence, people are getting more and more dependent on mobile phones and more and more mobile phones. People can handle daily affairs and get spiritual satisfaction through mobile phones.
This article has produced a Android chatting robot. It can chat with people while doing inquiries about the functions of weather, keyword search and other assistants. AIML template technology and dialog generation technology based on seq2seq framework can be used to carry out short dialogues with people through tests. This paper has developed a seq2seq based dialogue generation model using attention, a Python based server as a API call and a Android client. Users can get the weather, search information, and chatting with the robot to meet the user's daily needs through simple input.
Keywords chat robot, intelligent assistant, seq2seq, AIML
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