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
