[SOLVED] Text mining: Does pruning make sense at all?
i have a question (of cause):
The process document from text-operator can create fectors using the tf-idf-measure.
Further, it allows pruning the text beforehand based on e.g. the occurence of terms.
So, does it make sense at all to prune the text from frequen terms, when i want to use the tf-idf-measure?
Does pruning beforehand bias the resulting tf-idf-values?
Thank you very much,