In this project, the model is trained based on Native Bayes Classifier. By calculation prior and conditional probability of each word in the information we extracted from RSS feed in different area, we can find out the posterior probability of each word in the information which. And it is probability to predict which words that people in different area more care about. The flow chart below shows how these process works.
Bayes Classifier
Search Model