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
feature selection for text classification
negar_mahini
Member Posts: 3 
Contributor I
Dear friends
I work on text classification with reuters-21578 dataset in rapid miner. When preprocessing will complete and word vector creates and terms are weighted with tfidf, i can not use the feature selection teqniques (such as IG, MI, GINI, ...) and then validation (contains classifier and performance element). Between process documents(preprocessing) and validation, how to use feature selection?
thanks
I work on text classification with reuters-21578 dataset in rapid miner. When preprocessing will complete and word vector creates and terms are weighted with tfidf, i can not use the feature selection teqniques (such as IG, MI, GINI, ...) and then validation (contains classifier and performance element). Between process documents(preprocessing) and validation, how to use feature selection?
thanks
0
Answers
what's the problem with using feature selection techniques? You can use them on the output of Process Documents the same way as you do on other data, i.e. a combination of Weight by XXX and Select by Weight.
As an alternative approach, you should try to train (and optimize) an SVM with a linear kernel on the complete data set with all attributes.
Best regards,
Marius