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 (5)
The trainer adapted the materials and contents to what he thought would be best for us and he succeeded. The quality of the training was excellent.
Jorge Sanchez Hernandez - CSMART - Carnival
Course - QGIS for Geographic Information System
A lot of patience
Mateusz - WestWind Energy Polska Sp. z o.o.
Machine Translated
Professional and very practical, usuefull in a daily work
Jozefin Rékasi - SC Automobile Dacia SA
Course - Advanced Data Analysis with TIBCO Spotfire
It covered the areas i said i was interested in before the course: data relationships, using python script. Connecting to databases will be covered in the advanced module.
Cristian Tudose - SC Automobile Dacia SA
Course - Introduction to Spotfire
I genuinely enjoyed the lots of labs and practices.