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Classification of Twitter users into 4 different categories
Newbie
Hi,
I'm a newbie to Rapidminer. I really appreciate it if anyone can help me resolve the question.
I have a dataset with two attributes: Twitter usernames and bios. I manually sorted 1000 usernames into four categories according to the bios. I would like to find a good way to classify these usernames in Rapidminer. But there is no algorithm that has high accuracy.
What could I do with my data to improve the accuracy? I want Rapidminer to help me to classify the remaining usernames.
Thanks for your help!
Best regards,
Mahn
I'm a newbie to Rapidminer. I really appreciate it if anyone can help me resolve the question.
I have a dataset with two attributes: Twitter usernames and bios. I manually sorted 1000 usernames into four categories according to the bios. I would like to find a good way to classify these usernames in Rapidminer. But there is no algorithm that has high accuracy.
What could I do with my data to improve the accuracy? I want Rapidminer to help me to classify the remaining usernames.
Thanks for your help!
Best regards,
Mahn
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