NaiveBayes classifier
Hi,
I want to use RapidMiner to build a NaiveBayes classifier. My objective is to classify documents coming from a Web Crawler as belonging to a specific category or not. The classifier will be trained by some hundred documents that are marked by a human to belong in this category.
- What operators do I need to use in order to train the classifier?
- How do I save the outcome of the training, so as to use it in a new document coming from the Web?
- Are there any text mining examples available for Rapid Miner 5? I am afraid that I wasn't able to find any.
Thanks for reading this,
Kostas
I want to use RapidMiner to build a NaiveBayes classifier. My objective is to classify documents coming from a Web Crawler as belonging to a specific category or not. The classifier will be trained by some hundred documents that are marked by a human to belong in this category.
- What operators do I need to use in order to train the classifier?
- How do I save the outcome of the training, so as to use it in a new document coming from the Web?
- Are there any text mining examples available for Rapid Miner 5? I am afraid that I wasn't able to find any.
Thanks for reading this,
Kostas
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I think that you need the extensions web cmining and text processing for youruse case.
As for tutorials, I mostly use the website http://applieddatamining.blogspot.fr .
This one http://applieddatamining.blogspot.fr/2013/09/text-mining-using-rapid-miner.html is for text mining
You can use the store operator in order to save your results in order to use the results in another process.