Complete Natural Language Processing (NLP) Tutorial in Python! (with examples)

In this video we go through the major concepts in natural language processing using Python libraries! We use examples to help drill down the concepts. There is content in this video for all skill levels (beginners to experts). I originally recorded this video for the PyCon Conference. GitHub repo: Patreon: YT Membership: Some of the topics we cover: - Bag-of-words - Word vectors - Stemming/Lemmatization - Spell correction - Transformer Architecture (Attention is all you need) - State of the art models (OpenAI GPT, BERT) Some of the libraries used: - sklearn - spaCy - NLTK - TextBlob Hope you enjoy & let me know if you have any questions! Make sure to subscribe if you haven’t already :). ------------------------- Follow me on social media! Instagram | Twitter | If you are curious to learn how I make my tutorials, check o