Entropy-Based Age Estimation of Blog Authors

In this investigation, we propose a probabilistic approach for estimating the ages of blog authors in Japan by means of naive Bayesian classifier. We can learn context of characteristic words appeared in training data in terms of entropy. The key idea is that we extract feature words specific to authors´ ages, and we estimate ages of the blog authors. We show the effectiveness of our approach by experimental results.