Showing results for "Text" in Computer Science

This book is your ultimate guide to mastering ChatGPT and using it to its full potential. With in-depth coverage of GPT 2, GPT 3, and GPT 4, this book provides a comprehensive overview of the most cutting-edge technology in the world of AI-based text generation.

Natural Language Processing in Action is your guide to building machines that can read and interpret human language. In it, you'll use readily available Python packages to capture the meaning in text and react accordingly. The book expands traditional NLP approaches to include neural networks, modern deep learning algorithms, and generative techniques as you tackle real-world problems like extracting dates and names, composing text, and answering free-form questions.

Every day, we send and receive countless messages—emails from work, reminders from banks, shipping updates from online stores, and texts from friends. Communicating through screens has become so common that most of us don’t even think twice before opening a message, clicking a link, or responding to a notification. But in that sea of normal communication lies something much more dangerous: messages designed to trick you, to make you give away your passwords, financial details, or other private information. These scams often come hidden in the very tools we trust most—email and text.

Text is a common fabric of society, yet it is still challenging for our technology to make sense of text. This is where taxonomies can help. In this book, Bill Inmon will introduce you to the concept of taxonomies and how they are used to simplify and understand text. We emphasize the practical aspects of taxonomies, and the subsequent usage of taxonomies as a basis for textual analytics.