Build a Sentiment & Entity Detection API with FastAPI (2/2)
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.
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.
This post provides an introduction to “word embeddings” or “word vectors”. Word embeddings are real-number vectors that represent words from a vocabulary, and have broad applications in the area of natural language processing (NLP). We examine training, use, and properties of word embeddings models, and look at how and why you should look to use word embeddings over older bag-of-words techniques in your data science and language modelling tasks.