Google Reviews Project

Google Reviews Project

Text Data Analysis: Working with Google Reviews

Welcome to this blog post! In this project, we will be working with a Google reviews dataset from a cleaning company. Our goal is to demonstrate how to work with text data and report and visualize our findings.

Text data analysis is an essential skill for anyone working with data today. With the increasing use of social media and online platforms, text data has become one of the most common types of data available. It’s a rich source of information that can provide insights into customer opinions, preferences, and experiences.

For this project, we will be focusing on how to clean and process text data from Google reviews. We will also demonstrate how to perform sentiment analysis on the reviews and extract key insights using data visualization techniques.

By the end of this project, you will have a solid understanding of how to work with text data, and how to use Python libraries such as Pandas, Matplotlib, and Seaborn to visualize and report your findings. So, let’s get started!