Clothes reviews analysis with NLP -- Part 1

Natural Language Processing (NPL) is a field of Artificial Intelligence whose purpose is finding computational methods to interpret human language as it is spoken or written. The idea of NLP goes beyond a mere classification task that could be carried on by ML algorithms or Deep Learning NNs. Indeed, NLP is about interpretation: you want to train your model not only to detect frequent words, but also to count them or to eliminate some noisy punctuations; you want it to tell you whether the mood of the conversation is positive or negative, whether the content of an e-mail is mere publicity or something important, whether the reviews about thriller books in last years have been good or bad. The good news is that, for NLP, we are provided with interesting libraries, available in Python, that offer a pre-trained model able to inquire about written text. Among those, I'm gonna be using Spacy and NLTK.