Grouping similar product descriptions together
I have data with multiple descriptions of the same product, but they may be worded slightly differently, contain different product ids etc. I would like to group them together  Would an approach here beTrain a classifier on the products to predict say product categoryuse the description embeddings to compute cosine similarity. And thengroup by some similarity threshold?Is there a better approach to this?