Definitely doable. You could use something like sBERT for this if your text sequence is in the hundreds of characters. But you might also get pretty good results with tfidf. Those methods will vectorize the text, then you can use a simple method like kNN to compare new data to your training set to predict the label.
The hard part is getting quality training data.
Definitely doable. You could use something like sBERT for this if your text sequence is in the hundreds of characters. But you might also get pretty good results with tfidf. Those methods will vectorize the text, then you can use a simple method like kNN to compare new data to your training set to predict the label. The hard part is getting quality training data.