How to go about text mining for suggestions/Tips in reviews for restaurants?
So the way I thought about it is - abstractly you are attempting to identify which sentences are, Imperative Mood (IMP) and which are not. One option is to put together a training set/validation set, where each row is a phrase's pos tags (can use some encoder to convert to integers) with a target value of 'isImperative' (binary) then train a model and restructure each review so that they resemble the training set format and have your model assign the values. Seems the easiest and most sustainable method from where I am sitting. Sorry but I don't know any easily accessible phrase data sets but I bet there is one out there somewhere. Hope this helps.