NLP: Natural Language Processing with R Training Course
It is projected that unstructured data constitutes over 90 percent of all data, with a significant portion existing as text. This includes blog posts, tweets, social media updates, and other digital content that continually expands this vast dataset.
This instructor-led course focuses on deriving insights and meaning from such data. By leveraging the R programming language and Natural Language Processing (NLP) libraries, we integrate concepts and methodologies from computer science, artificial intelligence, and computational linguistics to algorithmically interpret text data. Data samples are provided in multiple languages based on customer needs.
Upon completion of this training, participants will be equipped to prepare datasets—both large and small—from various sources, and apply appropriate algorithms for analysis and reporting their significance.
Course Format
- The course includes lectures, discussions, extensive hands-on practice, and occasional assessments to evaluate understanding.
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
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NLP: Natural Language Processing with R Training Course - Enquiry
Testimonials (1)
The pace was just right and the relaxed atmosphere made candidates feel at ease to ask questions.
Rhian Hughes - Public Health Wales NHS Trust
Course - Introduction to Data Visualization with Tidyverse and R
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