1. A device for determining a measure of relevancy for a seed word-keyword pair (d,k) comprising: a word identifier for identifying each unique word in the set of documents as a search word; a word pair identifier in communication with said word identifier and for combining the identified search words to define search word pairs; a unit portioner for portioning the set of documents into user-definable units, said unit portioner in communication with said interface and with said word pair identifier; a co-occurrence matrix generator in communication with said unit portioner and said word pair identifier for determining, for each defined search word pair, the number of units in which the identified search word pair occurs and for storing the number of occurrences in a co-occurrence matrix a probability matrix generator in communication with said co-occurrence matrix generator and for generating a probability matrix as a function of the co-occurrence matrix, a calibrating column vector generator, ψ, in communication with said co-occurrence matrix generator for generating a calibrating column vector; a matrix normalizer in communication with said probability matrix generator for normalizing the probability matrix to form a transition matrix, R; a word pair selector in communication with said word pair identifier for selecting the seed word-keyword pair to be measured, wherein said word pair selector provides a first column vector, {right arrow over (Γ)}(d), relating to the seed word and a second column vector, {right arrow over (Γ)}(k), relating to the keyword; an expected search distance generator in communication with said word pair selector, said probability matrix generator and said matrix normalizer, for calculating the expected search distance of the seed word-keyword pair; a weighted average expected search distance generator in communication with said expected search distance generator, said probability matrix generator, said matrix normalizer, and said calibrating column vector, said weighted average expected search distance generator for determining a weighted average expected search distance for the keyword; and a calibrator in communication with said expected search distance generator and said weighted average expected search distance generator, wherein said calibrator determines the relevancy, s d,k , of the seed word to the key word, based upon said expected search distance and said weighted averaged expected search distance.