基于图的关键词提取方法研究

Overview of Graph-Based Keyword Extraction Methods

关键词提取是自然语言处理(NLP)应用中的一个重要步骤,其目的是捕获文档的主题,关键词提取广泛应用于信息检索、文本挖掘和自然语言处理中.在关键词提取方法中,最近的研究主流是基于图的关键词提取方法.为此,研究了基于图的关键词提取方法,分析比较了各种基于图的方法,为今后的研究提供了指导,并鼓励开发新的基于图的关键词提取方法.

Keyword extraction is an important step in the application of natural language processing(NLP).Its purpose is to capture the main subject of a document.Keyword extraction is widely used in Information Retrieval,Text Mining,and Natural Language Processing.Among the keyword extraction methods,the recent research mainstream is graph-based keyword extraction methods.To this end,this article reviews graph-based keyword extraction methods,analyzes and compares various graph-based methods,provides guidance for future research,and encourages the development of new graph-based keyword extraction methods.