Naive Bayes Analysis to Emotion in MySpace

Social network is a huge environment that provides long distance connection between people around the globe. It has also become a good tool for business companies to extend their marketing activities through advertisement in social networks. While studies about users' comments and feedback on social networks have always been the main focus for commercial and business purposes, this research is more concerned on the emotional bias among males and females as reacted in the comments in social media, in particular, MySpace. The analysis is based on the Naive Bayes algorithm in classifying the gender that has more positive emotions. The results showed that women are more open to express positive feelings as compared to men as a female receiver is portrayed as more supportive to other people they know. This is the opposite of men, where they are less positive and supportive within their social circle with exceptions to responding to women who express irritations