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
Testimonials
I did like the exercises
Office for National Statistics
Very knowledgeable
Usama Adam - TWPI
The way he present everything with examples and training was so useful
Ibrahim Mohammedameen - TWPI
Organization, adhering to the proposed agenda, the trainer's vast knowledge in this subject
Ali Kattan - TWPI
This is one of the best hands-on with exercises programming courses I have ever taken.
Laura Kahn
The topics referring to NLG. The team was able to learn something new in the end with topics that were interesting but it was only in the last day. There were also more hands on activities than slides which was good.
- Accenture Inc
the last day. generation part
- Accenture Inc
About face area.
- 中移物联网
This is one of the best quality online trainings I have ever taken in my 13 year career. Keep up the great work!
I like that it focuses more on the how-to of the different text summarization methods