Keyword extraction methodologies based on Rényi entropy and Tsallis relative entropy

Abstract

Textual and other forms of data is accumulating at a very fast pace through various social, academic and economic activities. Keyword extraction technique plays a significant role in analyzing, integrating, interpreting this amorphous data and exploiting its potential. Keyword extraction assists in making better sense of these vast information and data resources and leverage their value.  In this article we propose and analyze keyword extraction methodology using Rényi entropy and Tsallis relative entropy.  The proposed methods being statistics-based methods, these are language and domain independent method. The proposed methodology may find applications in dynamic text collection, information retrieval, natural language processing etc.