Take the 2-minute tour ×
Cross Validated is a question and answer site for people interested in statistics, machine learning, data analysis, data mining, and data visualization. It's 100% free, no registration required.

I want to classify text by different topics.

However, one of the current problems is that there are several topics/categories that are quite intuitively independent and statistically standalone, but there are also several other topics/categories that are quite intertwined with each other.

In order to make a good decision on the final categories, I realize I'd better carry out some statistical analyses on my raw text collection and explore the statistical nature of the collection.

I was thinking using clustering to have a clearer view of my text collection. But I want to know, what are options that I get in this step to make a better decision on my categories?

Any help and suggestion would be appreciated.

share|improve this question

Your Answer

 
discard

By posting your answer, you agree to the privacy policy and terms of service.

Browse other questions tagged or ask your own question.