Watson Discovery: Intelligent Document Processing will dive deeply into Intelligent Document Processing. You will 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.
COURSE OBJECTIVE:
After this course participants should be able to: • Populate WD collections through a Web Crawl • Import an existing Smart Document Understanding model to collections • Apply domain concepts to WD • Create and train a custom Entity extractor • Create a Conversation Search project with existing collections • Improve the model performance by utilizing Improve relevance function
TARGET AUDIENCE:
– Practicing AI specialists looking to add intelligent document processing capabilities to their existing text analytics tools- Practicing Data Scientists looking to get insights from text analysis- Business leaders looking to interpret the capabilities of IBM Watson Discovery- Knowledge workers and whoever is interested in text analytics
COURSE PREREQUISITES:
Before taking this course, you should have at least: • Intermediate knowledge of Watson Discovery • Natural Language and Processing fundamentalsExperience with Watson Knowledge Studio is not required, but it is recommended to have it at an intermediate level.
COURSE CONTENT:
Module 1. Introduction and Business ScenarioModule 2. Ingest the dataModule 3. Manage Document CollectionsModule 4. Teach Domain ConceptsModule 5. Create an Entity ExtractorModule 6. Implement Conversational SearchModule 7. Improve Relevancy
FOLLOW ON COURSES:
Not available. Please contact.
