Table 1 Dataset attributes.

From: Enhancing E-commerce recommendations with sentiment analysis using MLA-EDTCNet and collaborative filtering

Attributes

Attribute description

Id

Each user evaluation of a product in the collection is associated with a unique identifier.

brand

The user’s review besides rating for the product’s brand

categories

Products in this category include things like books, personal care goods, medications, cosmetics, electrical appliances, health care, kitchen and dining, and a plethora of others.

manufacturer

Name of manufacturer of artefact

name

Name of the product to which user has added assessment or rating

reviews_date

When the user first other the review

reviews_didpurchase

The product’s purchase status for a certain user

reviews_doRecommend

The sum of product recommendations made by a specific individual

reviews_rating

Rating given by user to an individual product

reviews_text

Customer feedback on a certain product

reviews_tittle

The user-generated review title for a certain product

reviews_userCity

The residing city of the user

reviews_userProvince

The exist in province of the user

reviews_username

A user’s distinct identifier within the dataset

user_sentiment

The general opinion of customer regarding a specific product