Natural Language Processing

Natural Language Processing

Discover how you can get more value out of the applications and services you build by using well-developed Natural Language Processing tools patched into Fusion.

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About this course

In this course, you will explore how Natural Language Processing (NLP) is not a monolithic concept, but a collection of tools that can reduce barriers to information and provide increased access to enhance search. While sorting through unstructured data is a challenge, learners will discover how they can get more value out of the applications and services they build by using well-developed NLP tools patched into Fusion.
 
Goal: After taking this course, you will possess the confidence needed to implement NLP applications to optimize search relevancy.
 
Course Objectives:
  • Describe how NLP applications sort and pre-process data so that data mining and analytics tools can take over to extract desired results.
  • Identify how to configure and deploy a machine learning pipeline stage.
  • Implement NLP applications such as Named Entity Recognition, Parts-of-Speech, and Sentence Detection in a pipeline stage.

Before starting this course

Prerequisites: None
What you should know: It is strongly recommended to review the Data Science Demystified course on the Lucidworks Academy prior to taking this course.
Duration: ~ 60 minutes

 

Curriculum

  • Natural Language Processing
  • Knowledge Check
  • Course Feedback

About this course

In this course, you will explore how Natural Language Processing (NLP) is not a monolithic concept, but a collection of tools that can reduce barriers to information and provide increased access to enhance search. While sorting through unstructured data is a challenge, learners will discover how they can get more value out of the applications and services they build by using well-developed NLP tools patched into Fusion.
 
Goal: After taking this course, you will possess the confidence needed to implement NLP applications to optimize search relevancy.
 
Course Objectives:
  • Describe how NLP applications sort and pre-process data so that data mining and analytics tools can take over to extract desired results.
  • Identify how to configure and deploy a machine learning pipeline stage.
  • Implement NLP applications such as Named Entity Recognition, Parts-of-Speech, and Sentence Detection in a pipeline stage.

Before starting this course

Prerequisites: None
What you should know: It is strongly recommended to review the Data Science Demystified course on the Lucidworks Academy prior to taking this course.
Duration: ~ 60 minutes

 

Curriculum

  • Natural Language Processing
  • Knowledge Check
  • Course Feedback