I need to find a solution to group a corpus of texts according to document similarity. Premising I have no experience in ML - only a few readings - I'd like to know if calculating the tf-idf on each text is the right approach. I've read something about calculating and compare the cosine similarity on tf-idf, but I don't know how to further process the results.
Saying "almost equal" means "the order of the words matters", it' not just the same words in different order.
I was thinking about using MLlib from Apache Spark to do the job (or at least use a Scala library).
Can anybody head me to the right direction, or even better add a link to a tutorial to this page?