Text Mining and Natural Language Processing in R

Do You Want to Gain an Edge by Gleaning Novel Insights from Social Media. Do You Want to Harness the Power of Unstructured Text and Social Media to Predict Trends. Over the past decade there has been an explosion in social media sites and now sites like Facebook and Twitter are used for everything from sharing information to distributing news.

Social media both captures and sets trends. Mining unstructured text data and social media is the latest frontier of machine learning and data science. LEARN FROM AN EXPERT DATA SCIENTIST WITH +5 YEARS OF EXPERIENCE:My name is Minerva Singh and I am an Oxford University MPhil (Geography and Environment) graduate.

I recently finished a PhD at Cambridge University (Tropical Ecology and Conservation). I have several years of experience in analyzing real-life data from different sources using data science-related techniques and producing publications for international peer-reviewed journals. Unlike other courses out there, which focus on theory and outdated methods, this course will teach you practical techniques to harness the power of both text data and social media to build powerful predictive models.

We will cover web-scraping, text mining and natural language processing along with mining social media sites like Twitter and Facebook for text data. Additionally, you will learn to apply both exploratory data analysis and machine learning techniques to gain actionable insights from text and social media data. TAKE YOUR DATA SCIENCE CAREER TO THE NEXT LEVELBECOME AN EXPERT IN TEXT MINING & NATURAL LANGUAGE PROCESSING:My course will help you implement the methods using real data obtained from different sources.