This R Programming Tutorial will unravel the complete Introduction to R, Benefits of R for Business, What is Sentiment Analysis?, Advantages & Applications of Sentiment Analysis. In addition, we will also extensively cover Data Collection & Results using Sentiment Analysis.
At the end, you'll have strong knowledge regarding Sentiment Analytics via R Programming.
PPT Agenda
✓ Introduction to R Programming
✓ R for Data Analysis
✓ What is Sentiment Analysis all about?
✓ How Sentiment Analysis works
✓ Real World Applications of R Sentiment Analysis
✓ Job Trends for R
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What is R Programming?
R is a programming language and software environment for statistical computing and graphics. It is widely used among statisticians and data miners for data analysis and visualization.
What is Sentiment Analysis?
Sentiment analysis is the process of computing, identifying and categorizing opinions expressed in a blurb of text in order to determine whether a user's attitude towards a particular topic or product is positive, negative, or neutral. It uses natural language processing, text analysis and computational linguistics to identify and extract subjective information from text.
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Sentiment Analysis has the following components:
1. Collect Data from Desired Sources
2. Remove Sentiment Neutral Words
3. Two Way Categorization
4. Results are Positive on Negative
5. Act on the Model!
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Applications of Predictive Analysis
1. Analytical Customer Relationship Management (CRM)
2. Clinical decision support systems
3. Customer satisfaction & retention
4. Direct marketing
5. Fraud detection
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