A tech company that provides software solutions receives a vast amount of customer feedback through various channels such as emails, online surveys, and social media platforms. However, the company lacks an efficient method to analyze this feedback systematically. They are interested in leveraging data analytics using R to gain valuable insights from customer feedback, identify patterns, and address recurring issues to enhance customer satisfaction and product quality.

Learning Objectives

 

1. How can we use sentiment analysis in R to categorize customer feedback as positive, negative, or neutral, and what actionable insights can we derive from this analysis?
2. What data visualization techniques in R can we employ to represent the most common issues or concerns raised by customers, and how can these visualizations aid in decision-making processes?