Text Analytics and Natural Language Processing (NLP) with R

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

What you'll 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
Description
This course is for all who wants to explore and pursue a career in Text Analytics and Natural Language Processing with R. The course will drive you through all the techniques you need to process structured and unstructured text data and corpora. It will also teach you how to deal with multi-lingual text.

Who this course is for:
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