Document Similarity and Clustering in RapidMiner

This is part 4 of a 5 part video series on Text Mining using the free and open-source RapidMiner.

This video describes how to calculate a term's TF-IDF score, as well as how to find similar documents using cosine similarity, and how to cluster documents using the K-Means algorithm.

Category:

Education

Tags:

• RapidMiner
• TF-IDF
• Document Similarity
• Cosine Similarity
• Document Clustering
• Text Mining
• Text Analytics

[nietgoedsnik]

I like about your video that you also discuss theory and not only tell us what to click

[antman48]

Even if I don't use RapidMiner your video is fantastic. Nice explanation of the theory! Nice Idea showing the diagrams on Google Docs!

[fabriciotono]

Thanks for your help! Excellent job!!

From Chile

[konfuzsius86]

Great tutorial !! But I do have one question where does your Simalrity Measure Object View come from. followed your tutorial step by step but cant get this view..

cheers