Text Analytics and Natural Language Processing (NLP) with R

Introduction to Text Analytics, Web Scraping, Corpus Analytics, Natural Language Processing (NLP) Techniques

Created by: Beeharry Shiam
Technical Consultant - Data and Report Analyst

What Will I Learn?

• Students will be able to extract big text data from different sources for analysis
• Text Pre-processing and understanding different types of text data
• Using most common R packages for text analytics
• Students will be able to create customized word cloud
• Perform corpus analysis
• Perform text summarization techniques
• Perform part of speech tagging
• Carry out Emotion and sentiment analysis
• Understand and use language models
• Perform web scraping for text data (customer reviews from web sites)
• Natural language processing for linguists
• Natural Language processing for computational linguists
• Analyse multilingual text data
• Future trends in NLP and CL

Requirements

• Should have basic experience of R and RStudio
• Basic knowledge of HTML
• Should have interest in text analytics and natural language processing
• Should be aware of deriving insights from big text data
• Should have a basic knowledge of programming skills
• Should be interested in learning new languages for analytics
• Should be interested in computational linguistics

Target audience

• This course is for the general public who are keen to discover the world of big text data
• This course is also designed for translators, journalists, linguists and multi-linguists
• This course is also for historians, humanities and digital humanities students
• All those who are interested in designing and generating natural language processing