How To Build and Deploy an NLP Model with FastAPI: Part 1

Written by davisdavid | Published 2021/06/08
Tech Story Tags: natural-language-processing | machine-learning | data-science | python | fastapi | nlp | blogging-fellowship | hackernoon-top-story

TLDR In this series of articles, you will learn how to build and deploy your NLP model with FastAPI. We are going to use the IMDB Movie dataset to build a simple model that can classify if the review about the movie is Positive or Negative. We will train the Multinomial Naive Bayes algorithm to classify if a review is positive or negative. This is one of the most common algorithms used for text classification. The model will receive input and predict an output for decision-making for a specific use case.via the TL;DR App

no story

Written by davisdavid | Data Scientist | AI Practitioner | Software Developer| Technical Writer | ML Course Author @EducativeInc
Published by HackerNoon on 2021/06/08