"Saving specific features from a Model for Text Mining"

New Altair Community Member
Updated by Jocelyn
Hello,
I am using Rapidminer to build a text classification model using Naive Bayes. I have built the model fine and understand how to apply said model in RapidMiner, but I was wondering if there was anyway to save the features the Bayesian model extracts into say a database table or excel spreadsheet? I want to do this because I am planning on using the Bayes model to help select key terms for a model and then take these terms and help rank documents using a cosine similarity and weighting scheme, which I have already developed . I don't know if this is possible in RapidMiner, or if maybe RapidMiner has the cosine similarity feature already and I can just maybe use that instead somehow.
Any help would be much appreciated.
Thanks
I am using Rapidminer to build a text classification model using Naive Bayes. I have built the model fine and understand how to apply said model in RapidMiner, but I was wondering if there was anyway to save the features the Bayesian model extracts into say a database table or excel spreadsheet? I want to do this because I am planning on using the Bayes model to help select key terms for a model and then take these terms and help rank documents using a cosine similarity and weighting scheme, which I have already developed . I don't know if this is possible in RapidMiner, or if maybe RapidMiner has the cosine similarity feature already and I can just maybe use that instead somehow.
Any help would be much appreciated.
Thanks