Python for NLP: Working with Facebook FastText Library

This is the 20th article in my series of articles on Python for NLP. In the last few articles, we have been exploring deep learning techniques to perform a variety of machine learning tasks, and you should also be familiar with the concept of word embeddings. Word embeddings is a way to convert textual information into numeric form, which in turn can be used as input to statistical algorithms. In my article on word embeddings [/python-for-nlp-word-embeddings-for-deep-learning-in-keras/], I expla

FastText has been developed by Facebook and has shown excellent results on many NLP problems, such as semantic similarity detection and text classification.

Lee mas