Text Analytics and Predictions with R Essential Training
Offered By: LinkedIn Learning
Course Description
Overview
Learn about the tools and techniques for analyzing text data in R and discover how to perform machine learning and predictions.
Syllabus
Introduction
- The need for text analytics
- Introduction to text analytics
- Pre-requisites for the course
- Word cloud concepts
- Preparing data
- Displaying the word cloud
- Enhancing the word cloud
- Sentiment analysis concepts
- Finding sentiment
- Summarizing sentiment
- Analyzing emotions
- Clustering concepts
- Preparing data for clustering
- Clustering hashtags
- Finding optimal cluster size
- Classification concepts
- Preparing data
- Building a model
- Running predictions
- Predictive text concepts
- Preparing data
- Building the n-grams database
- Predicting text
- Next steps
Taught by
Kumaran Ponnambalam
Related Courses
Statistics OnePrinceton University via Coursera Introduction to Computational Finance and Financial Econometrics
University of Washington via Coursera Curso Práctico de Bioestadística con R
Universidad San Pablo CEU via Miríadax Análisis Estadístico de datos con R
Universidad Católica de Murcia via Miríadax Data Analysis with R
Facebook via Udacity