Course Description

Advanced Document Search with IBM Watson Discovery explores intelligent document processing at a deeper level. You learn how to create regular expressions, import rule-based models, customize query results, conduct web crawling, and teach the domain language to Watson Discovery to enhance the relevance and accuracy of your results.

Objectives

• Get data through a web crawl 
• Import an existing Smart Document Understanding model to collections
• Apply Teach Domain concepts 
• Improve the model performance by using the improve relevance function
• Import rule-based models from Watson Knowledge Studio to Watson Discovery
• Illustrate previewing the application
• Create a Conversation Search project with existing collections

Audience

AI specialists who know natural language processing at an intermediate level

Prerequisites

Before taking this course, you should have at least:

• • Intermediate knowledge of Watson Discovery 
  • Natural Language and Processing fundamentals

Experience with Watson Knowledge Studio is not required, but it is recommended to have it at an intermediate level.

Content

• Introduction
• Case Study
• Get the data 
• Manage collections
• Teach domain concepts
• Improve relevance
• Watson Knowledge Studio (optional)
• Uploading Watson Knowledge Studio models to Watson Discovery
• Previewing the application
• Creating a Conversational Search project