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Working in a hands-on learning environment, led by our Taxonomies and Textual Analytics expert instructor, students will learn about and explore: Get familiar with taxonomies, their types, and applications. Explore the role that taxonomies play in textual analytics. Understand how textual analysis is used in various industries like banking, hospitality, airline, and more.

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Last Updated

January 14, 2021

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With businesses operating round the clock, a large amount of data gets generated. This data can be efficiently converted into useful knowledge that can take your business to a higher level. This course introduces you to the concept of taxonomies and how they are used to simplify and understand the text. You'll explore how to use taxonomies for textual analytics. It begins with a quick history of taxonomies and their earliest usage. You’ll learn about the different types of taxonomies (recursive, networked, hierarchical, and so on. You'll also learn about ontologies and understand how the ontology becomes a bridge between the worlds of technology and business and commerce. The later lessons of the course show how to find the taxonomies that you need for successful textual analytics, update your taxonomies to include the constantly-changing language, and extract meaningful information from raw text using different tools, such as textual disambiguation, document fracturing, and so on. By the end of this course, you’ll be able to utilize the various aspects of taxonomies for efficient textual analysis.

Course Curriculum

    • Introduction 00:00:00
    • Brief History of Taxonomies 00:00:00
    • Insufficiency of Structured Data 00:00:00
    • Manual Processing 00:00:00
    • Evolution of Textual Analytic Technology 00:00:00
    • Simple Taxonomies 00:00:00
    • Taxonomy Components 00:00:00
    • Taxonomies and Language 00:00:00
    • Complex Taxonomies 00:00:00
    • Hierarchical Taxonomies 00:00:00
    • Networked Taxonomies 00:00:00
    • More Applications of Taxonomies 00:00:00
    • Ontologies 00:00:00
    • 5: Obtaining Taxonomies 00:00:00
    • Curated Taxonomies 00:00:00
    • Building Your Own Taxonomy 00:00:00
    • Qualifying the Nouns 00:00:00
    • Changing Taxonomies 00:00:00
    • Taxonomies as Databases 00:00:00
    • MoveRemove Processing 00:00:00
    • Taxonomy Customization 00:00:00
    • Word Pairs 00:00:00
    • Transporting the Taxonomy 00:00:00
    • Taxonomies and Data Models 00:00:00
    • Types of Textual Data 00:00:00
    • Types of Textual Dat 00:00:00
    • 10: Textual Analytics 00:00:00
    • Document Fracturing 00:00:00
    • Named Value Processing 00:00:00
    • Supporting Processes 00:00:00
    • Stage 1 Processing 00:00:00
    • Basic Refinements 00:00:00
    • Custom Variables 00:00:00
    • Inline Contextualization 00:00:00
    • Proximity Analysis and Resolution 00:00:00
    • Stop Word Processing 00:00:00
    • Associative Word Processing 00:00:00
    • Homographic Resolution 00:00:00
    • Alternate Spelling 00:00:00
    • Acronym Resolution 00:00:00
    • Stemming 00:00:00
    • Date Normalization 00:00:00
    • 12: Stage 2 Processing 00:00:00
    • Sentiment Analysis 00:00:00
    • Negativity Analysis 00:00:00
    • Medical Records 00:00:00
    • 13: Banking Analytics 00:00:00
    • Publicly Available Banking Data 00:00:00
    • Comments Collected 00:00:00
    • Textual Disambiguation 00:00:00
    • Secondary Inference Analysis 00:00:00
    • Visualization 00:00:00
    • Interpreting the Dashboard 00:00:00
    • Considering a Single Bank 00:00:00
    • Call Center Analytics 00:00:00
    • What the Call Center Hears 00:00:00
    • Processing the Narrative 00:00:00
    • Examining the Dashboard 00:00:00
    • Getting to Visualization 00:00:00
    • Hospitality Analytics 00:00:00
    • Voice of the Customer 00:00:00
    • Analyzing Restaurant Feedback 00:00:00
    • Airline Analytics 00:00:00

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