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A Review of Keyphrase Extraction - 2020

A Review Of Keyphrase Extraction

Research Area:  Machine Learning


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.


Author(s) Name:  Eirini Papagiannopoulou,Grigorios Tsoumakas

Journal name:  WIREs Data Mining and Knowledge Discovery

Conferrence name:  

Publisher name:  Wiley

DOI:  10.1002/widm.1339

Volume Information:  Volume10, Issue2