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# About text mining

Hello, how are you?

I have interest in text mining using RapidMiner

Is there any way I can do

"Nonnegative Matrix Factorization" or "Probabilistic Latent Sementic Analysis"

or "Nonlinear Transformation" to Document-Term-Matrix??

I want to do Classification, Clustering, Summarizing, Information Retrieval etc for text data

Thank you in advance and have a nice day.

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## Answers

1,635UnicornLindon Ventures

Data Science Consulting from Certified RapidMiner Experts

18Learner IHello, Telcontar120.

Thank you for your explanation.

I am a beginner in Text mining using RapidMiner.

I found in books such that,

SVD or Nonnegative Matrix Factorization techniques can be used before doing clustering so on,

and I guessed there are no such operators for that.

I wanted to know the full possible functions RapidMiner can do for text mining,

and wanted to use "Nonnegative Matrix technique"

Then, I found RapidMiner has "Singular Value Decomposition(SVD)"

So could you please explain to me about How "SVD" can be applied to text mining projects

such as clustering, classification??