Longlisted for the BookTrust StoryTime Prize 2020 Most of the time Ravi can control his temper but, one day, he lets out the tiger within ... Being a tiger is great fun at first – tigers can do ANYTHING they want! But who wants to play with a growling, roaring, noisy, wild tiger who won't share or play nicely? Ravi is about to discover something very important about expressing his feelings and making amends. A clever and engaging book about temper tantrums, dealing with emotions and learning to express and understand your feelings. From Tom Percival's bestselling Big Bright Feelings series, this is the perfect book for helping with bad days and noisy outbursts. A special edition where the words and pictures take you on a journey far beyond the page. This audio-enabled eBook comes with a gorgeous reading by Sam Newton, along with music and sound effects.

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Summary Taming Text, winner of the 2013 Jolt Awards for Productivity, 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. About this Book There is so much text in our lives, we are practically drowningin it. Fortunately, there are innovative tools and techniquesfor managing unstructured information that can throw thesmart developer a much-needed lifeline. You'll find them in thisbook. Taming Text is a practical, example-driven guide to working withtext in real applications. This book introduces you to useful techniques like full-text search, proper name recognition,clustering, tagging, information extraction, and summarization.You'll explore real use cases as you systematically absorb thefoundations upon which they are built.Written in a clear and concise style, this book avoids jargon, explainingthe subject in terms you can understand without a backgroundin statistics or natural language processing. Examples arein Java, but the concepts can be applied in any language. Written for Java developers, the book requires no prior knowledge of GWT. Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book. Winner of 2013 Jolt Awards: The Best Books—one of five notable books every serious programmer should read. What's Inside When to use text-taming techniques Important open-source libraries like Solr and Mahout How to build text-processing applications About the Authors Grant Ingersoll is an engineer, speaker, and trainer, a Lucenecommitter, and a cofounder of the Mahout machine-learning project. Thomas Morton is the primary developer of OpenNLP and Maximum Entropy. Drew Farris is a technology consultant, software developer, and contributor to Mahout,Lucene, and Solr. "Takes the mystery out of verycomplex processes."—From the Foreword by Liz Liddy, Dean, iSchool, Syracuse University Table of Contents Getting started taming text Foundations of taming text Searching Fuzzy string matching Identifying people, places, and things Clustering text Classification, categorization, and tagging Building an example question answering system Untamed text: exploring the next frontier

This book is the first and so far only formally precise machinery converting well-motivated semantic sentence representations into actual sentences of English, French, German and Dutch. It focuses on the auxiliary and complementation systems of the languages concerned.