Data-Driven Decision Making with Sentiment Analysis in R | by Devashree Madhugiri | January, 2025

Using Quanteda, Textstem and Sentimentr Packages to Extract Customer Insights and Develop Business Strategy

In a rapidly evolving world driven by AI, businesses now need to stay competitive in order to stay sustainable. Companies can do this by regularly observing and analyzing customer opinions about their products and services. They achieve this by evaluating ideas from multiple sources, both online and offline. Identifying positive and negative trends in customer feedback allows them to better plan product features and design marketing strategies that meet customer needs.

Therefore, customer feedback needs to be properly analyzed in order to gain valuable insights that can help in making informed business decisions.

Sentiment analysis, which is part of natural language processing (NLP), is a popular technique today because it studies people's opinions, feelings, and emotions in any text. Businesses can understand public opinion, monitor brand…