Research And Implementation Of Fighting Sticker Chat System Based On Deep Learning

With the growth of data and the development of computer hardware,deep learning has made explosive progress,showing amazing potential in collision fusion with various fields,such as image recognition,speech recognition and other fields have achieved im-portant results.Google's ALphaGo robot defeated the World Go Champion Li Shishi to push artificial intelligence into a boom.Humans have entered the era of artificial intelli-gence.The use of artificial intelligence in various industries is becoming more and more core,including medical,chip,transportation and other fields.As an entry-level product in the era of artificial intelligence,chat robot incorporates a number of areas of research in speech recognition and natural language processing,it has become a very hot artificial intelligence research and development direction.They have appeared in various places such as shopping malls,libraries,etc.to provide services for people,and to solve user's doubts through communication.In this context,this thesis will pursue the development of chatbots,understand the core technology changes from the birth of chatbots to now,and explore how to implement a reliable chat system,study its development ideas and related technologies,and finally obtain the following results:(1)The chatbot originated from a question answering system.For questions asked by users,the question answering system will obtain answers and reply to users through four steps: question analysis,information retrieval,answer extraction,and answer selection.Inspired by the decision tree model,this paper proposes a tree model-based question an-swering matching model,which can streamline and optimize the text data obtained from user questions and information retrieval,and obtain an effective candidate set of answers from the retrieved text.Good implementation of the answer extraction function in the question answering system,which provides good basic conditions for the realization of chatting with stickers.(2)The development of speech recognition has made chat robots more widely used.Nowadays,chat robots are everywhere around people.Some of them provide convenience for people to travel,some help people manage their home equipment,and some accom-pany people to chat.At present,it is very common for people to send an sticker when communicating,but most of the ability of chatbots to communicate with stickers has not achieved good results.Therefore,this article combines image classification technology to improve the ability of chatting with stickers,to research and implement a robot that can fight with images,and provide an Android application for people to chat and entertain.