The dataset i'm using for the task of amazon product reviews sentiment analysis was downloaded from kaggle.This dataset contains the producct reviews of over 568000 customers who have purchased products from Amazon. So let's start this task by importing the necessary Python libraries and the dataset.
As this dataaset is very large, it contains some missing values, so let's remove all the rows containing the missing values.
The score column of this dataset contains the ratings that customers have given to the product based on their experience with the product.So let's take a look at the rating breakdown to see how most customers rate the products they buy from amazon.
So this is how we can analyze the sentiments of the product reviews at amazon. There are so many customers buying products from amazon. So having a such a large customer base.