4.6 Article

The role of entropy in word ranking

Journal

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
Volume 390, Issue 18-19, Pages 3157-3163

Publisher

ELSEVIER
DOI: 10.1016/j.physa.2011.04.013

Keywords

Entropy; Information theory; Complex systems; Statistical mechanics; Keyword extraction

Funding

  1. Zanjan university [P/6295]

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Entropy as a measure of complexity in the systems has been applied for ranking the words in the human written texts. We introduce a novel approach to evaluate accuracy for retrieved indices. We also have an illustrative comparison between proposed entropic metrics and some other methods in extracting the keywords. It seems that, some of the discussed metrics apply similar features for word ranking in the text. This work recommend the entropy as a systematic measure in text mining. (C) 2011 Elsevier B.V. All rights reserved.

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