I am quite new to text classification.
Using EAST text detection model, I get multiple strings that aren't words and most often have no meaning. For example, IDs, brand names, etc. I would like to classify them into two groups. Which models work the best and how should I preprocess the strings? I wanted to use Word2Vec, but I think it only works with real words and not with arbitrary strings.