[D] How to best extract product benefits/problems from customer reviews using NLP?

Web: https://www.reddit.com/r/MachineLearning/comments/vh9gni/d_how_to_best_extract_product_benefitsproblems/

I am working on a prototype that takes in a list of customer reviews about a specific product and returns a list of (unique) benefits and problems from these reviews. These should be non-generic, e.g. for a camera, a benefit might be "great for panoramic photos" and not just "good quality". My initial idea was to go about this in two steps:

1. Use NER to identify phrases describing benefits or problems
2. Use text summarization to create the final …

benefits extract machinelearning nlp product