Taming Text

Author(s): Grant S. Ingersoll;Thomas S. Morton;;Andrew L. Farris

Year (published): 2012-12-31T00:00:00.000-0800

Pages: 350

Abstract: Taming Text is a hands-on, example-driven guide to working with unstructured text in the context of real-world applications. This book explores how to automatically organize text using approaches such as full-text search, proper name recognition, clustering, tagging, information extraction, and summarization. The book guides you through examples illustrating each of these topics, as well as the foundations upon which they are built.

Introduction

It is no secret that the world is drowning in text and data. This causes real problems for everyday users who need to make sense of all the information available, and software engineers who want to make their text-based applications more useful and user-friendly. Whether you're building a search engine for a corporate website, automatically organizing email, or extracting important nuggets of information from the news, dealing with unstructured text can be a daunting task. Taming Text is a hands-on, example-driven guide to working with unstructured text in the context of real-world applications. This book explores how to automatically organize text using approaches such as full-text search, proper name recognition, clustering, tagging, information extraction, and summarization. The book guides you through examples illustrating each of these topics, as well as the foundations upon which they are bulit.

Data from https://github.com/bvaughn/infinite-list-reflow-examples/blob/master/books.json