多场景的文本自动生成系统设计与实现

People expect that one day computers will be able to write like human beings and write high-quality natural language text. Automatic text generation is the key technology to achieve this goal. This paper designs and implements an automatic text generation system that supports multiple scenarios. Based on machine learning and natural language processing technology, the system can learn text features of specific scenarios, and automatically generate text according to the sentences given by users. The system also provides text search function based on semantic similarity, which can recommend relevant text according to the sentences given by users. The back end of the system is built based on the Spring Boot framework, and users can access the system services through a browser.This paper first introduces therelated technologies of text generation, then describes the design and implementation of the system, finallyverifies and analysesthe system functions by testing.