Introduction

Building on the foundation set in the previous chapter, where we used ChatGPT for data exploration with Amazon book reviews, Chapter 12 delves deeper into the realm of supervised learning, with a focus on classification. Here, we continue to leverage ChatGPT, applying its capabilities to enhance our understanding and application of supervised learning techniques in the context of customer reviews.

In the realm of e-commerce, customer feedback plays a pivotal role in shaping business strategies and product enhancements. As Bill Gates aptly stated, “Your most dissatisfied customers are your greatest source of learning.” Customer sentiments are often buried within the extensive pool of product reviews. However, manually scrutinizing this ocean of reviews, which includes various attributes such as product ID, title, text, rating, and helpful votes, is an arduous and often unmanageable task.

In this chapter, we concentrate on classifying customer reviews...