Analysis of Brazilian E-commerce Text Review Dataset Using NLP and Google Translate
Introduction
Comprehending the reviews of customers is very crucial for a business to be successful. Analyzing the reviews helps to properly discern the customer different preferences, likes, dislikes, etc. These extracted insights can then be used to improve customer service and experience.
In this article, we would be working on a Brazilian E-commerce reviews dataset where we would perform some exploratory data analysis (EDA) on reviews text, derive meaningful insights from our analysis, and then translate our outputs from Portuguese to the English language for better and easier understanding.
Dataset Description
This dataset was taken from Kaggle and was generously provided by Olist online stores in Brazil. Here’s the link to the dataset.
This Kaggle project has multiple datasets containing different fields such as orders, payments, geolocation, products, products_category, etc. but we would be solely focusing on the text reviews