Hi all, I am a beginner stage ML practitioner. I need help.

I have a large dataset of free text for work orders for a power plant. I need to identify the cause, symptom and damage by these work order data. I do have the list of causes, symptoms and damage which is to be used to classify each work order. The issue is I do not have a labelled data set so I have to take the unsupervised approach. But I am not getting useful results.

Could you help me with approaches I can work on to get better results.

Thanks.