文本深度学习向量化在操作票审核中的研究
Research on Text Deep Learning Vectorization in Operation Check
段宇 1孙载董 1陈铁山1
作者信息
- 1. 南方电网储能公司鲁布革电厂,云南曲靖 655000
- 折叠
摘要
传统的电力系统操作票审核采用人工审核,审核效率低.随着深度学习技术的发展,自然语言处理技术能够高效、高质地处理文本和问题.应用文本深度学习向量化可解决传统操作票人工审核过程中存在的问题.文章针对文本深度学习向量化在电力系统操作票审核中的应用进行研究,以期提高审核效率.
Abstract
The traditional power system operation check adopts manual check,and the check efficiency is low.With the development of deep learning technology,natural language processing technology can process texts and problems efficiently and with high quality.Applying text deep learning vectorization can solve the problems existing in the manual audit process of traditional operation tickets.This paper studies the Application of text deep learning vectorization in power system operation ticket audit,in order to improve the audit efficiency.
关键词
文本向量化/操作票/审核Key words
text vectorization/operation ticket/auditing引用本文复制引用
出版年
2024
NETL
NSTL
万方数据