Accurate prediction of gender information from social media, such as Weibo, is valuable for marketing and personalization. In order to identify the gender of these users, this study tries to find out a practical method to predict it. Inquiring machine learning and related theories, this article proposed a gender prediction algorithm for Microblog user, which is based on Naive Bayesian Classifier. The project used a web-spider which called APIs provided by Weibo to crawl users' tweets and gender. Then we selected feature words extracted from the content posted by Microblog users to predict thei...
