Intelligent Chatbot Design Based on Deep Learning and Emotion Edentification
At present,chatbots have the problems of single matching traditional knowledge base to generate reply statements,multiple use of emotionally generalized reply statements,and single emotion in the conversation process.In or-der to solve these problems,this paper studies the traditional encoder-decoder model and uses the deep LSTM structure combined with the attention mechanism on the basis of the original model,which improves its ability to adapt to questions of different lengths.Secondly,by drawing on the research of CNN in image processing,the general structure of CNN is improved to enhance chatbot's ability of recognizing the emotion of Chinese text.Finally,a new chatbot model is proposed,that is,a robot that can accurately identify human emotions and communicate with humans in natural language in a com-panionable and empathetic way.
deep learningchatbotnatural language processingemotion recognition
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