I am a beginner in Deep Learning / ML and Fast AI, so my apologies if this question is stupid or if I posted in the wrong place. I am now following the DL v3 course, that is (at the point I am being) focusing on image processing.
I have a project that would require to make some prediction, but with some input data that could be classified between tabular data and text. Indeed the inputs are in a XML format. So it is a structured text, but I can not easily convert it into tabular data. Indeed there can be repetitive elements (1 to many) and so I cannot linearise it into a CSV with a fixed number of columns.
Would you use in this case the text based approach?
Many thanks for your input.