Deep Learning for Natural Language Processing: Tutorials with Jupyter Notebooks

Classification of documents is a good NLP use case, but this work is moving further away from the goal of acquiring the semantics of documents rather than just "typing" it. This is where ML reach its limit. What if there are documents containing semantics that is totally new. These are common encounters in our everyday life as we need to process new technology, concept, and science. Practical use of ML related NLP work stops as we try to get down to the semantics of each document.