CODEWITHSUNDEEP
rdata-miningtext-mining
user1024824
user1024824

Reputation: 111

Can I perform Generalized Iterative Scaling in R?

I'm looking to port our home-grown platform of various machine learning algorithms from C# to a more robust data mining platform such as R. While it's obvious R is great at many types of data mining tasks, it is not clear to me if it can be used for text classification.

Specifically, we extract a list of bigrams from the text and then classify it into one of 15 different categories, eg:

Bigram list: jewelry, books, watches, shoes, department store -> Category: Shopping

We'd want to both train the models in R as well as hook up to a database to perform this on a larger scale.

Can it be done in R?

Upvotes: 3

Views: 324

Answers (1)

Matt Bannert
Matt Bannert

Reputation: 28274

Hmm, I am rather starting to look into Machine Learning, but I might have a suggestion: have you considered Weka? There's a bunch of various algorithms around and there'S IS some documentation. Plus, there is an R package RWeka that makes use of the Weka jars.

EDIT: There is also a nice, comprehensive read by Witten et al. : Data mining that contains an extensive description of Weka among other interesting things. Look into the API opportunities.

Upvotes: 1

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