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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...
This paper performs a comparative analysis of several different types of SMS text classifiers: weight enhanced Multinomial naive Bayes, Poisson naive Bayes, and L2-loss Support Vector Machine. The effects of preprocessing and incorporating additional features on the classifiers were examined. The preliminary experimental results show that the use of preprocessing and incorporating additional features...
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