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
The trainer very easily explained difficult and advanced topics.
Leszek K
This is one of the best hands-on with exercises programming courses I have ever taken.
Laura Kahn
This is one of the best quality online training I have ever taken in my 13 year career. Keep up the great work!.
Human identification and circuit board bad point detection
王 春柱 - 中移物联网
Demonstrate
- 中移物联网
About face area.
- 中移物联网
the last day. generation part
- Accenture Inc
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
I like that it focuses more on the how-to of the different text summarization methods
Organization, adhering to the proposed agenda, the trainer's vast knowledge in this subject
Ali Kattan - TWPI
the way he present everything with examples and training was so useful
Ibrahim Mohammedameen - TWPI
Very knowledgeable
Usama Adam - TWPI
This is one of the best quality online training 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