Natural Language Processing From Scratch
The rise of online social platforms has resulted in an explosion of written text in the form of blogs, posts, tweet, wiki pages, etc. This new wealth of data provides a unique opportunity to explore natural language in its many forms, both as a way of automatically extracting information from written text and as a way of artificially producing text that looks natural.
In this video we will introduce viewers to natural language processing from scratch. Each concept is introduced and explained through coding examples using nothing more than just plain Python and numpy. In this way, viewers will learn in depth about the underlying concepts and techniques instead of just learning how to use a specific NLP library.
Represent words and numbers
Use One-Hot Encoding
Implement Bag of Words
Find topics in documents
Perform Explicit Semantic Analysis
Understand Document clustering
Implement Latent Semantic Analysis
Implement Non-negative Matrix factorization
Quantify words and feelings
Use Negations and modifiers
Understand corpus based approaches
Understand Word2vec word embeddings
Apply Language detection