Research Area:  Machine Learning

Abstract:

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.

Keywords:  

Author(s) Name:  Eirini Papagiannopoulou,Grigorios Tsoumakas

Publisher name:  Wiley

DOI:  10.1002/widm.1339

Volume Information:  Volume10, Issue2

Paper Link:   https://wires.onlinelibrary.wiley.com/doi/abs/10.1002/widm.1339