- データマイニングと統計数理研究会(第 12 回)
In this paper, we propose egogram estimation method from weblog text data. Egogram is one of the personality models which illustrate the ego states of the users. In our method, the features which is appropriate for egogram are selected using the information gain of the each word which is contained in weblog text, and estimation is performed by Multinomial Naïve Bayes classifiers. We evaluate our method in some classification scenario and show its effectiveness.