'Name Tagging' presents an array of 'hello my name is' stickers adorned with tags, the origin of graffiti and today's street art cultures. Martha Cooper has captured the artistry and audacity of graffiti artists and their distinctive tags.

Tagging is fast becoming one of the primary ways people organize and manage digital information. Tagging complements traditional organizational tools like folders and search on users desktops as well as on the web. These developments mean that tagging has broad implications for information management, information architecture and interface design. And its reach extends beyond these technical domains to our culture at large. We can imagine, for example, the scrapbookers of the future curating their digital photos, emails, ticket stubs and other mementos with tags. This book explains the value of tagging, explores why people tag, how tagging works and when it can be used to improve the user experience. It exposes tagging's superficial simplicity to reveal interesting issues related to usability, information architecture, online community and collective intelligence.

This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation. With it, you'll learn how to write Python programs that work with large collections of unstructured text. You'll access richly annotated datasets using a comprehensive range of linguistic data structures, and you'll understand the main algorithms for analyzing the content and structure of written communication. Packed with examples and exercises, Natural Language Processing with Python will help you: Extract information from unstructured text, either to guess the topic or identify "named entities" Analyze linguistic structure in text, including parsing and semantic analysis Access popular linguistic databases, including WordNet and treebanks Integrate techniques drawn from fields as diverse as linguistics and artificial intelligence This book will help you gain practical skills in natural language processing using the Python programming language and the Natural Language Toolkit (NLTK) open source library. If you're interested in developing web applications, analyzing multilingual news sources, or documenting endangered languages -- or if you're simply curious to have a programmer's perspective on how human language works -- you'll find Natural Language Processing with Python both fascinating and immensely useful.

A 2019 Caldecott Honor Book What’s in a name? For one little girl, her very long name tells the vibrant story of where she came from — and who she may one day be. If you ask her, Alma Sofia Esperanza José Pura Candela has way too many names: six! How did such a small person wind up with such a large name? Alma turns to Daddy for an answer and learns of Sofia, the grandmother who loved books and flowers; Esperanza, the great-grandmother who longed to travel; José, the grandfather who was an artist; and other namesakes, too. As she hears the story of her name, Alma starts to think it might be a perfect fit after all — and realizes that she will one day have her own story to tell. In her author-illustrator debut, Juana Martinez-Neal opens a treasure box of discovery for children who may be curious about their own origin stories or names.

Libraries, archives, and museums hold a wide variety of moving images. all of which require the same level of attention to issues of organization and access as their print counterparts. Consequently, the people who create collection level records and metadata for these resources need to be equally conversant in the principles of cataloging. Martha Yee covers both descriptive (AACR2R, AMIM, and FIAF rules) and subject cataloging (with a focus on LCSH). In the process, the reader is encouraged to think critically and to be prepared to make decisions in ambiguous situations where solutions to problems are not always obvious or clearly dictated by specific rules.

Includes cases argued and determined in the District Courts of the United States and, Mar./May 1880-Oct./Nov. 1912, the Circuit Courts of the United States; Sept./Dec. 1891-Sept./Nov. 1924, the Circuit Courts of Appeals of the United States; Aug./Oct. 1911-Jan./Feb. 1914, the Commerce Court of the United States; Sept./Oct. 1919-Sept./Nov. 1924, the Court of Appeals of the District of Columbia.

The problem of the nature of fiction and the problem of nonexistence are closely tied because fiction often talks about nonexistent entities. In Fiction, Reference, and Nonexistence, A. P. Martinich and Avrum Stroll, two of America's leading philosophers, explore fiction and undertake an analytic philosophical study of fiction and its reference and its relation to truth. Included in the discussion is the authors' new, contemporary theory of fiction developed as an extension of the speech act theory of H. P. Grice, as well as the relationship between nonexistence and Bertrand Russell's well-known theory of definite descriptions, and Hilary Putnam's theory of the relationship between common names and the world.