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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...
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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?
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
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.