How do I classify an already classified data in Rapidminer

Hi everybody!
I made a text classification with Rapidminer. Now I need to categorize this classification again. How can I do that? Any idea?
For example: High school students are playing football.
The text is firstly classified as high "high school"
Now I need to classify it again as "football" in the same model like...
Students in high school and playin football
High school students are playin football = high school > football
Is it possible?
Thank you...
Answers
-
Hi Baran,
I had to move your post to the Getting Started Forum. Building Blocks is for people to share their RapidMiner Building Blocks.
When you said you made a text classification in RapidMiner, was that from a data set that you label by yourself and then loaded into RapidMiner, or was their a model like Naive Bayes that autoclassified the text for you?
0 -
Thank you Thomas for your concern...
I load a training data and labeled myself... then used naive bayes to teach the machine. After that I load a test data, applied model to test data and got whether the model autoclassified the test data right or not. The result was perfect! Now I want to apply results of test data (the text) to a new classifier (with a new training data).
For example.
Text Category I Category II
High school students playing football High school Football
College students playing football College Football
University students playing basketball University Basketball
I have two training data one is for category I and second is for category II.
Can I see them in the same performance operator. Each column is saperate.
Thanks again
0 -
Hmm, having two sets of labels in two columns might not work.
Can you merge them together into one column, like "highschool_football" and "College_football?" You could do that with a Generate Attributes operator, just create a new label column and do something like [attribute1]_[attribute2] in the expressoin field.
0