299 products were found matching your search for Text Analytics in 1 shops:

Book is in NEW condition. 0.95

Book is in Used-VeryGood condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain very limited notes and highlighting. 0.95

Leverage Natural Language Processing (NLP) in Python and learn how to set up your own robust environment for performing text analytics. This second edition has gone through a major revamp and introduces several significant changes and new topics based on the recent trends in NLP. You’ll see how to use the latest state-of-the-art frameworks in NLP, coupled with machine learning and deep learning models for supervised sentiment analysis powered by Python to solve actual case studies. Start by reviewing Python for NLP fundamentals on strings and text data and move on to engineering representation methods for text data, including both traditional statistical models and newer deep learning-based embedding models. Improved techniques and new methods around parsing and processing text are discussed as well.   Text summarization and topic models have been overhauled so the book showcases how to build, tune, and interpret topic models in the context of an interest dataset on NIPS conference papers. Additionally, the book covers text similarity techniques with a real-world example of movie recommenders, along with sentiment analysis using supervised and unsupervised techniques.There is also a chapter dedicated to semantic analysis where you’ll see how to build your own named entity recognition (NER) system from scratch. While the overall structure of the book remains the same, the entire code base, modules, and chapters has been updated to the latest Python 3.x release.What You'll Learn· Understand NLP and text syntax, semantics and structure· Discover text cleaning and feature engineering· Review text classification and text clustering · Assess text summarization and topic models· Study deep learning for NLPWho This Book Is ForIT professionals, data analysts, developers, linguistic experts, data scientists and engineers and basically anyone with a keen interest in linguistics, analytics and generating insights from textual data.

Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!

Bridging the gap between the marketer who must put text analytics to use and data analysis experts, Practical Text Analytics is an accessible guide to the many advances in text analytics. It explains the different approaches and methods, their uses, strengths, and weaknesses, in a way that is relevant to marketing professionals.  Each chapter includes illustrations and charts, hints and tips, pointers on the tools and techniques, definitions, and case studies/examples. Consultant and researcher Steven Struhl presents the process of text analysis in ways that will help marketers clarify and organize the confusing array of methods, frame the right questions, and apply the results successfully to find meaning in any unstructured data and develop effective new marketing strategies.

Extract actionable insights from text and unstructured data. Information extraction is the task of automatically extracting structured information from unstructured or semi-structured text. SAS® Text Analytics for Business Applications: Concept Rules for Information Extraction Models focuses on this key element of natural language processing (NLP) and provides real-world guidance on the effective application of text analytics. Using scenarios and data based on business cases across many different domains and industries, the book includes many helpful tips and best practices from SAS text analytics experts to ensure fast, valuable insight from your textual data. Written for a broad audience of beginning, intermediate, and advanced users of SAS text analytics products, including SAS® Visual Text Analytics, SAS® Contextual Analysis, and SAS® Enterprise Content Categorization, this book provides a solid technical reference. You will learn the SAS information extraction toolkit, broaden your knowledge of rule-based methods, and answer new business questions. As your practical experience grows, this book will serve as a reference to deepen your expertise.

Extract actionable insights from text and unstructured data. Information extraction is the task of automatically extracting structured information from unstructured or semi-structured text. SAS® Text Analytics for Business Applications: Concept Rules for Information Extraction Models focuses on this key element of natural language processing (NLP) and provides real-world guidance on the effective application of text analytics. Using scenarios and data based on business cases across many different domains and industries, the book includes many helpful tips and best practices from SAS text analytics experts to ensure fast, valuable insight from your textual data. Written for a broad audience of beginning, intermediate, and advanced users of SAS text analytics products, including SAS® Visual Text Analytics, SAS® Contextual Analysis, and SAS® Enterprise Content Categorization, this book provides a solid technical reference. You will learn the SAS information extraction toolkit, broaden your knowledge of rule-based methods, and answer new business questions. As your practical experience grows, this book will serve as a reference to deepen your expertise.

Unread book in perfect condition.

This copy has clearly been enjoyedâ"expect noticeable shelf wear and some minor creases to the cover. Binding is strong, and all pages are legible. May contain previous library markings or stamps.

New copy - Usually dispatched within 4 working days. 185

Financial statements are the basis for a wide range of business analysis. Managers, securities analysts, bankers, and consultants all use them to make business decisions. There is strong demand among business students for course materials that provide a framework for using financial statement data in a variety of business analysis and valuation contexts. BUSINESS ANALYSIS & VALUATION: USING FINANCIAL STATEMENTS, TEXT & CASES, 5E allows you to undertake financial statement analysis using a four-part framework--(1) business strategy analysis for developing an understanding of a firm's competitive strategy; (2) accounting analysis for representing the firm's business economics and strategy in its financial statements, and for developing adjusted accounting measures of performance; (3) financial analysis for ratio analysis and cash flow measures of operating; and (4) prospective analysis. Then, you'll learn how to apply these tools in a variety of decision contexts, including securities analysis, credit analysis, corporate financing policies analysis, mergers and acquisitions analysis, and governance and communication analysis. This text also offers one Harvard case per chapter as well as an entirely separate section (Section 4) for additional cases!

Financial statements are the basis for a wide range of business analysis. Managers, securities analysts, bankers, and consultants all use them to make business decisions. There is strong demand among business students for course materials that provide a framework for using financial statement data in a variety of business analysis and valuation contexts. BUSINESS ANALYSIS & VALUATION: USING FINANCIAL STATEMENTS, TEXT & CASES, 5E allows you to undertake financial statement analysis using a four-part framework--(1) business strategy analysis for developing an understanding of a firm's competitive strategy; (2) accounting analysis for representing the firm's business economics and strategy in its financial statements, and for developing adjusted accounting measures of performance; (3) financial analysis for ratio analysis and cash flow measures of operating; and (4) prospective analysis. Then, you'll learn how to apply these tools in a variety of decision contexts, including securities analysis, credit analysis, corporate financing policies analysis, mergers and acquisitions analysis, and governance and communication analysis. This text also offers one Harvard case per chapter as well as an entirely separate section (Section 4) for additional cases!

Originally published in 1948, this now-classic study by Merrill Tenney treats the Gospel of John as a literary unit and provides a straightforward analysis of the text. Tenney first outlines the structure of the Gospel, then offers a careful exposition of John’s text according to six major periods of Christ’s life, and finally presents a topical analysis of the Gospel. Not a critical commentary but, rather, a well-organized guidebook complemented by helpful charts and diagrams, Tenney’s John: The Gospel of Belief, reissued in this new format, will continue helping pastors, teachers, students, and other Bible readers grasp the aim and major themes of John.

This book is the first volume of a two-volume textbook for undergraduates and is indeed the crystallization of a course offered by the author at the California Institute of Technology to undergraduates without any previous knowledge of number theory. For this reason, the book starts with the most elementary properties of the natural integers. Nevertheless, the text succeeds in presenting an enormous amount of material in little more than 300 pages -MATHEMATICAL REVIEWS

"This book is the first volume of a two-volume textbook for undergraduates and is indeed the crystallization of a course offered by the author at the California Institute of Technology to undergraduates without any previous knowledge of number theory. For this reason, the book starts with the most elementary properties of the natural integers. Nevertheless, the text succeeds in presenting an enormous amount of material in little more than 300 pages."-―MATHEMATICAL REVIEWS

In our distant past, we attempted to create wealth by turning everyday substances into gold. This was early alchemy, and ultimately it did not work. But the world has changed. Today we have a type of "modern alchemy" that really can create gold. We can transform voluminous text into a wealth of knowledge. 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, legendary 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. This book is for managers who have to deal with text, students of computer science, programmers who need to understand taxonomies, systems analysts who hope to draw business value out of a body of text, and especially those who are struggling to decode data lakes. Hopefully for those individuals (and many more), this book will serve as both an introduction to taxonomies and a guide to how taxonomies can be used to bring text into the realm of corporate decision-making. This book will introduce you to the world of taxonomies, as well as explore: Simple and complex taxonomies Ontologies Obtaining taxonomies Changing taxonomies Taxonomies and data models Types of textual data Textual analytics. In addition, several case studies are presented from industries as diverse as banking, call centers, and travel.

This book is the first volume of a two-volume textbook for undergraduates and is indeed the crystallization of a course offered by the author at the California Institute of Technology to undergraduates without any previous knowledge of number theory. For this reason, the book starts with the most elementary properties of the natural integers. Nevertheless, the text succeeds in presenting an enormous amount of material in little more than 300 pages -MATHEMATICAL REVIEWS

Originally published in 1948, this now-classic study by Merrill Tenney treats the Gospel of John as a literary unit and provides a straightforward analysis of the text. Tenney first outlines the structure of the Gospel, then offers a careful exposition of John’s text according to six major periods of Christ’s life, and finally presents a topical analysis of the Gospel. Not a critical commentary but, rather, a well-organized guidebook complemented by helpful charts and diagrams, Tenney’s John: The Gospel of Belief, reissued in this new format, will continue helping pastors, teachers, students, and other Bible readers grasp the aim and major themes of John.

Book is in Used-VeryGood condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain very limited notes and highlighting. 1.37

In our distant past, we attempted to create wealth by turning everyday substances into gold. This was early alchemy, and ultimately it did not work. But the world has changed. Today we have a type of "modern alchemy" that really can create gold. We can transform voluminous text into a wealth of knowledge. 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, legendary 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. This book is for managers who have to deal with text, students of computer science, programmers who need to understand taxonomies, systems analysts who hope to draw business value out of a body of text, and especially those who are struggling to decode data lakes. Hopefully for those individuals (and many more), this book will serve as both an introduction to taxonomies and a guide to how taxonomies can be used to bring text into the realm of corporate decision-making. This book will introduce you to the world of taxonomies, as well as explore: Simple and complex taxonomies Ontologies Obtaining taxonomies Changing taxonomies Taxonomies and data models Types of textual data Textual analytics. In addition, several case studies are presented from industries as diverse as banking, call centers, and travel.