Gender Classification of Weblog Authors.
Xiang Yan, Ling Yan · 2006
In this paper, we present a Naı̈ve Bayes classification approach to identify genders of weblog authors. In ad-dition to features employed in traditional text catego-rization, we use weblog-specific features such as web page background colors and emoticons. Our results in progress, although preliminary, outperform the chosen baseline. They also suggest room for significant im-provement once more advanced functionalities of the classifier are implemented.