NTC's Pocket Guide for Doubtful Spellers
Author: David Downing
Publisher:
Published: 1992
Total Pages: 340
ISBN-13: 9780844254746
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Author: David Downing
Publisher:
Published: 1992
Total Pages: 340
ISBN-13: 9780844254746
DOWNLOAD EBOOKAuthor:
Publisher: Firebelle Productions
Published:
Total Pages: 188
ISBN-13: 0965151662
DOWNLOAD EBOOKAuthor: Jill Meryl Levy
Publisher: Firebelle Productions
Published: 1998
Total Pages: 666
ISBN-13: 0965151611
DOWNLOAD EBOOKAuthor: Christopher D. Manning
Publisher: Cambridge University Press
Published: 2008-07-07
Total Pages:
ISBN-13: 1139472100
DOWNLOAD EBOOKClass-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures.
Author: Lester Kaufman
Publisher: John Wiley & Sons
Published: 2021-04-16
Total Pages: 272
ISBN-13: 1119652847
DOWNLOAD EBOOKThe bestselling workbook and grammar guide, revised and updated! Hailed as one of the best books around for teaching grammar, The Blue Book of Grammar and Punctuation includes easy-to-understand rules, abundant examples, dozens of reproducible quizzes, and pre- and post-tests to help teach grammar to middle and high schoolers, college students, ESL students, homeschoolers, and more. This concise, entertaining workbook makes learning English grammar and usage simple and fun. This updated 12th edition reflects the latest updates to English usage and grammar, and includes answers to all reproducible quizzes to facilitate self-assessment and learning. Clear and concise, with easy-to-follow explanations, offering "just the facts" on English grammar, punctuation, and usage Fully updated to reflect the latest rules, along with even more quizzes and pre- and post-tests to help teach grammar Ideal for students from seventh grade through adulthood in the US and abroad For anyone who wants to understand the major rules and subtle guidelines of English grammar and usage, The Blue Book of Grammar and Punctuation offers comprehensive, straightforward instruction.
Author:
Publisher:
Published: 1993
Total Pages: 2118
ISBN-13:
DOWNLOAD EBOOKAuthor: Dipanjan Sarkar
Publisher: Apress
Published: 2016-11-30
Total Pages: 397
ISBN-13: 1484223888
DOWNLOAD EBOOKDerive useful insights from your data using Python. You will learn both basic and advanced concepts, including text and language syntax, structure, and semantics. You will focus on algorithms and techniques, such as text classification, clustering, topic modeling, and text summarization. Text Analytics with Python teaches you the techniques related to natural language processing and text analytics, and you will gain the skills to know which technique is best suited to solve a particular problem. You will look at each technique and algorithm with both a bird's eye view to understand how it can be used as well as with a microscopic view to understand the mathematical concepts and to implement them to solve your own problems. What You Will Learn: Understand the major concepts and techniques of natural language processing (NLP) and text analytics, including syntax and structure Build a text classification system to categorize news articles, analyze app or game reviews using topic modeling and text summarization, and cluster popular movie synopses and analyze the sentiment of movie reviews Implement Python and popular open source libraries in NLP and text analytics, such as the natural language toolkit (nltk), gensim, scikit-learn, spaCy and Pattern Who This Book Is For : IT professionals, analysts, developers, linguistic experts, data scientists, and anyone with a keen interest in linguistics, analytics, and generating insights from textual data