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Text Analytics and Predictions with R Essential Training

Offered By: LinkedIn Learning

Tags

R Programming Courses Machine Learning Courses Sentiment Analysis Courses Classification Courses Clustering Courses

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
1. Word Cloud
  • Word cloud concepts
  • Preparing data
  • Displaying the word cloud
  • Enhancing the word cloud
2. Sentiment Analysis
  • Sentiment analysis concepts
  • Finding sentiment
  • Summarizing sentiment
  • Analyzing emotions
3. Clustering
  • Clustering concepts
  • Preparing data for clustering
  • Clustering hashtags
  • Finding optimal cluster size
4. Classification
  • Classification concepts
  • Preparing data
  • Building a model
  • Running predictions
5. Predictive Text
  • Predictive text concepts
  • Preparing data
  • Building the n-grams database
  • Predicting text
Conclusion
  • Next steps

Taught by

Kumaran Ponnambalam

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