so far I have been a quite basic user of KNIME, done some easy stuff and I know well about all the general usage of KNIME like building workflows etc. Now I wanted to dig a bit deeper and try out more of the incredible capabilities.
In fact I have a bunch of text files, that are all “categorized”, means they have different topics assigned, one topic for each document.
I now want to train a model with the existing files, and let KNIME then use the model to classify a bunch of untagged files.
I tried to find a good starting point to learn how to do it, but to be honest my research gave me so many results, different plugins and situations I was kinda lost what fits my problem.
Would you experts have any recommendation where to start from? This would be really highly appreciated!
(I don’t expect any solution, a link or tut would be enough for me to learn. Yet also if theres kinda blueprint or soemthing this still would be nice…)