Course Outline

Introduction

  • NLP and R vs Python

Installing and Configuring R Studio

Installing R Packages Related to Natural Language Processing (NLP)

An Overview of R's Text Manipulation Capabilities

Getting Started with an NLP Project in R

Reading and Importing Data Files into R

Text Manipulation with R

Document Clustering in R

Parts of Speech Tagging in R

Sentence Parsing in R

Working with Regular Expressions in R

Named-Entity Recognition in R

Topic Modeling in R

Text Classification in R

Working with Very Large Data Sets

Visualizing Your Results

Optimization

Integrating R with Other Languages (Java, Python, etc.)

Summary and Conclusion

Requirements

  • Some familiarity with programming.

Audience

  • Linguists and programmers
  21 Hours
 

Number of participants


Starts

Ends


Dates are subject to availability and take place between 09:30 and 16:30.
Open Training Courses require 5+ participants.

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