A fuzzy based approach to stylometric analysis of blogger´s age and gender

Fuzzy logic deals with partial truth. A fuzzy based approach to blog analysis, on the basis of various feature words, allows us to determine the degree to which a blogger´s style belongs to a particular age or gender group. Each blog was represented by a set of normalized word frequencies of selected feature words in it. Using membership values obtained from applying Fuzzy C-Means (FCM) algorithm to these blog representations, we can call the blogger´s style to belong weakly, fairly, strongly or very strongly to a particular class. The advantage of using fuzzy logic for this problem is that a weak belonging to a particular class means that there is a decent belonging to the other class (es). Hence when a search or query is carried out, no useful blog will be left out of the results for that other class (es).