Week 2: Naive Bayes (Practical 1)

Part1 : Training

Steps of using Weka

Step1: Explorer

Step2: Select data

Step3: Choose Algorithm

Step3: Start and Result

Week 7: Latent Dirichlet Allocation (Practical 6)

In this practical, we will process the text data that includes the abstracts of all papers in the Journal of Statistical Software (JSS), up to 08/05/2010.
The JSS data is available as a list matrix in the package corpus.JSS.papers which can be
installed and loaded by:

Background

There are three methods to establish a classifier

A. Model a classification rule directly
B. Model the probability of class memberships given input data
C. Make a probabilistic model of data within each class