Component Headlines and classification



I have 2000 components and the comments grouped by component for the last 2 years.

I tried topic modelling with 25/75/100 topics to see how the different components are falling into different categories. Some words common between different topics.

Is there other ways I can classify that will tell me more clearly how 2 components differ. How can I use n gram in this problem?