Mapper and Betti 0 Barcodes Applied to Random Indexing Word-Spaces - a First Survey

University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)

Author: David Nilsson; Ariel Morell Ekgren; [2013]

Keywords: ;

Abstract: This paper will introduce analytic methods for linguistic data that is represented in forms of word-spaces constructed from the random indexing model. The paper will present two different methods; a visualisation method derived from an algorithm called Mapper, and a word-space property measure derived from Betti numbers. The methods will be explained and thereafter implemented in order to demonstrate their behaviour with a smaller set of linguistic data. The implementations will constitute as a foundation for future research.

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