Hi guys,
I have a database containing info on bank account transactions (account, date, amount, description/transfer reason) and I would like KNIME to automatically assign predefined categories to these transactions.
I have learning data available (i.e. transactions to which categories were assigned manually) and I would like KNIME to learn to assign categories based on "description/transfer reason" which usually is a string containing 1-3 words.
How would I need to approach this problem? Which machine learning methods and corresponding KNIME nodes would I need to use?
Thanks in advance for you support!
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