The Altair Community is migrating to a new platform to provide a better experience for you. In preparation for the migration, the Altair Community is on read-only mode from October 28 - November 6, 2024. Technical support via cases will continue to work as is. For any urgent requests from Students/Faculty members, please submit the form linked here
NaiveBayes classifier
Contributor II
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
Tagged:
0
Answers
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.