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A review of keyphrase extraction
WIREs Data Mining and Knowledge Discovery ( IF 7.8 ) Pub Date : 2019-09-18 , DOI: 10.1002/widm.1339
Eirini Papagiannopoulou 1 , Grigorios Tsoumakas 1
Affiliation  

Keyphrase extraction is a textual information processing task concerned with the automatic extraction of representative and characteristic phrases from a document that express all the key aspects of its content. Keyphrases constitute a succinct conceptual summary of a document, which is very useful in digital information management systems for semantic indexing, faceted search, document clustering and classification. This article introduces keyphrase extraction, provides a well‐structured review of the existing work, offers interesting insights on the different evaluation approaches, highlights open issues and presents a comparative experimental study of popular unsupervised techniques on five datasets.

中文翻译:

关键短语提取概述

关键字短语提取是一种文本信息处理任务,涉及从表示其内容的所有关键方面的文档中自动提取代表短语和特征短语。关键字构成了文档的简洁概念摘要,在数字信息管理系统中对于语义索引,分面搜索,文档聚类和分类非常有用。本文介绍了关键短语的提取,对现有工作进行了结构化的回顾,对不同的评估方法提供了有趣的见解,突出了未解决的问题,并针对五个数据集对流行的无监督技术进行了对比实验研究。
更新日期:2019-09-18
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