Natural Language Processing with Flair A practical guide to understanding and solving NLP problems with Flair

Learn how to solve practical NLP problems with the Flair Python framework, train sequence labeling models, work with text classifiers and word embeddings, and much more through hands-on practical exercises

Key Features

Backed by the community and written by an NLP expert

Get an understanding of basic NLP problems and teology

Solve real-world NLP problems with Flair with the help of practical hands-on exercises

Book Description

Flair is an easy-to-understand natural language processing (NLP) framework designed to facilitate training and distribution of state-of-the-art NLP models for named entity recognition, part-of-speech tagging, and text classification. Flair is also a text embedding library for combining different types of embeddings, such as document embeddings, Transformer embeddings, and the proposed Flair embeddings.

Natural Language Processing with Flair takes a hands-on approach to explaining and solving real-world NLP problems. You'll b by installing Flair and learning about the basic NLP concepts and teology. You will explore Flair's extensive features, such as sequence tagging, text classification, and word embeddings, through practical exercises. As you advance, you will train your own sequence labeling and text classification models and learn how to use hyperparameter tuning in order to choose the right training parameters. You will learn about the idea behind one-shot and few-shot learning through a novel text classification technique TARS. Finally, you will solve several real-world NLP problems through hands-on exercises, as well as learn how to deploy Flair models to production.

By the end of this Flair book, you'll have developed a thorough understanding of typical NLP problems and you'll be able to solve them with Flair.

What you will learn

Gain an understanding of core NLP teology and concepts

Get to grips with the capabilities of the Flair NLP framework

Find out how to use Flair's state-of-the-art pre-built models

Build custom sequence labeling models, embeddings, and classifiers

Learn about a novel text classification technique called TARS

Discover how to build applications with Flair and how to deploy them to production

Who this book is for

This Flair NLP book is for anyone who wants to learn about NLP through one of the most bner-friendly, yet powerful Python NLP libraries out there. Software eeering students, developers, data scientists, and anyone who is transitioning into NLP and is interested in learning about practical approaches to solving problems with Flair will find this book useful. The book, however, is not recommended for readers aiming to get an in-depth theoretical understanding of the mathematics behind NLP. Bner-level knowledge of Python programming is required to get the most out of this book.

Table of Contents

Introduction to Flair

Flair Base Types

Embeddings in Flair

Sequence Tagging

Training Sequence Labeling Models

Hyperparameter Optimization in Flair

Training Your Own Embeddings

Text Classification in Flair

Deploying and Using Models in Production

Hands-on exercise – Building a trading bot with Flair