Age Detection in Chat
Jenny K. Tam, Craig H. Martell · 2009
This paper presents the results of using statistical analysis and automatic text categorization to identify an author's age group based on the author's online chat posts. A naive Bayesian classifier and support vector machine (SVM) model were used. The SVM model experiments generated an f-score measurement of 0.996 on test data distinguishing teens from adults. We also introduce an alternative method for generating ldquostop wordsrdquo that chooses n-grams based on their relative distribution across the classes.