Gender and Age Identification Through Romanized Urdu Dataset

Abstract

Urdu ranks very high among languages used for communication in the Southern Asia. Even though with great following, it clearly lack computational support that is why it is written in Romanized Urdu script. There has been a lot of research done on the gender and age identification of author through written text but not ample have been done using Romanized Urdu dataset. In our research, we have proposed a model for the said purpose by identifying key parameter (defined attributes) of an author. These parameters were measured for both the genders and three categories of age. Weight assignment technique was used to plot graphs which help in computation of the desired results.