title: Topic Modeling Using Gensim in Python
body: <p>I have a list of bag of words for two classes. Say <strong><em>n</em></strong> items in class <strong><em>A</em></strong> and <strong><em>m</em></strong> items in class <strong><em>B</em></strong>. I want to use the topic modeling with gensim package (for LDA) in python in order to train a model for class A vs class B. Meanwhile I am new to both <strong>Topic Modeling</strong> and <strong>Python</strong>. Does anyone know how should I do this? I mean, should I merge all the bags for each class and the use gensim or should I use bag for each item seperately? Thanks!</p>