I’ve been working with Python and would like to switch over to Knime for more rapid development and testing. One of the key items I’d like to use it for is text analysis with data tables that have multiple input feature types. For example, there is a description, an account number, a dollar amount, etc… Any of these features may provide some insight to a classification or categorization problem I have. A good example can be found here:
I hope you are doing well. I have been dabbling in the Enterprise Miner application and was wondering if it was able to do some classification work that will likely require mixed input features such as text, dollar amounts, account codes, etc… In Python, I can do it using something similar to the following article:
Is Knime able to do this kind of analysis?