The role of entropy in word ranking |
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| Authors: | Ali Mehri Amir H. Darooneh |
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| Affiliation: | 1. Carlos III University, Madrid, Spain;2. Politechnical University of Madrid, Madrid, Spain;1. Institute for Mathematics, Kassel University, Germany;2. Department of Computing Science, University of Alberta, Canada;1. Medical Specialist Centre in Gliwice, Poland;2. Independent Public Healthcare Centre of the Ministry of Internal Affairs in Katowice, Poland |
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| Abstract: | 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. |
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