Part 2/2 of our tutorial on using FastAPI, Flair, Spacy to create a powerful NLP sentiment and entity detection API with Python in less than 70 lines of code.
Natural Language Processing
This post shows how to load, use, and make your own word embeddings using Python. Use the Gensim and Spacy libraries to load pre-trained word vector models from Google and Facebook, or train custom models using your own data and the Word2Vec algorithm. This post is a direct follow-on from the introductory Word Embeddings post, and will show you how to get started using word vectors with your own models and systems.