Text semantic representation is one of the core tasks in the field of natural language processing,which transforms text information into a numerical representation that can be understood by computers,so as to realize the mining and application of the deep meaning of text.This article reviews the traditional methods of text semantic representation,analyzes their advantages and limitations,and focuses on the breakthroughs and development trends of deep learning in the field of text semantic representation.The aim is to provide a comprehensive overview of the research status and development trends of text semantic representation technology,and to provide useful references and insights for research in related fields.
text semantic representationword embeddingdeep learning modeltext vector
NETL
NSTL
万方数据
