基于深度学习的自然语言处理技术在电网工程建设管理中的研究与展望

Research and Prospect of Natural Language Processing Technology Based on Deep Learning in Power Grid Engineering Construction Management

本文对自然语言处理技术在国内外的研究现状进行综述。计算机的应用极大提升了工作效率与质量,如何利用计算机进一步实现人机交互是当前的研究热点之一,自然语言处理技术作为计算机理解分析人类语言的桥梁受到了广泛关注。传统的自然语言处理技术需要人工深度参与,编写大量的识别规则,泛化性较差,随着人工智能技术的快速发展,基于深度学习的自然语言处理技术更灵活高效、全面精准,有效弥补了传统方法的局限性。文章将基于深度学习的自然语言处理技术与电网工程建设管理相结合,进一步探讨该技术在电网工程建设过程管理方法的应用前景,分析其在电网工程建设管理活动中对于文本语义识别、数据提取、智能分类、文本生成、决策参考等的应用潜力与应用价值。基于深度学习的自然语言处理技术的快速发展,可为电网工程建设管理方法提供新的技术支撑,也可为电网精益投资与精准管控提供新的策略与模式。

This paper reviews the research status of natural language processing technology at home and abroad.The application of computer has greatly improved the work efficiency and quality,and how to use computer to further realize human-computer interaction is one of the current research hotspots,and natural language processing technology has received extensive attention as a bridge for computer to understand and analyze human language.With the rapid development of artificial intelligence technology,natural language processing technology based on deep learning is more flexible,efficient,comprehensive and accurate,which effectively makes up for the limitations of traditional methods.This paper combines the natural language processing technology based on deep learning with power grid engineering construction management,further explores the application prospect of this technology in the power grid engineering construction process management method,and analyzes its application potential and application value in text semantic recognition,data extraction,intelligent classification,text generation,decision-making reference and so on in power grid engineering construction management activities.The rapid development of natural language processing technology based on deep learning can provide new technical support for the construction and management methods of power grid engineering,and also provide new strategies and models for lean investment and precise management and control of power grids.