Search Enhancement Using Natural Language Processing

Search Enhancement Using Natural Language Processing

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The eLearning is priced at $ 200.00 USD per participant


Summary

Natural language processing (NLP) helps computers gain a deeper understanding of human language by adding context and structure. With NLP, your search solution can return better results because it can better interpret what you’re asking it to find (searches for "big data lake" shouldn't return Lake Tahoe). This course will teach you how to integrate and use NLP in your search applications.
Note: This course is a module of the Data Science specialization.

Description

After exploring part-of-speech (POS) tagging, named-entity recognition (NER), and the OpenNLP ingest pipeline, you will learn how to design and configure your applications to support those features and build better search in your own use case. After completing this course, you will be able to use NLP to improve the relevancy of your search engine.

Topics Covered

  • Overview of NLP
  • NLP
  • OpenNLP ingest
  • Enhanced search
Download Course Outline

Length

2-3 hours

Audience

Data Scientists, Data Architects, Data Engineers, Software Developers

Language

English

Prerequisites

Requirements

  • Stable internet connection
  • Mac, Linux, or Windows
  • Latest version of Chrome or Firefox (other browsers not supported)
  • Disable any ad blockers and restart your browser before class

Additional Information

Training Specializations

This course is a module of the Data Science specialization. Find out how our focused Training Specializations can help you with your use case.

General Training Information

All training materials are provided via the Elastic training portal. Have training questions? Review our FAQ or email us.