Sentiment Analysis Project on Product Rating

This article discusses a sentiment analysis technique that we used to examine the hidden feelings in product comments in order to raise the ratings of the products. To achieve the required capabilities, this system module has modified sentimental analysis methodology. This system is an online application for e-commerce where the user who has registered will evaluate the product and its attributes and provide feedback on it. This technique is used to evaluate user-provided database comments in order to elevate the product's ranking. In order to enhance product ratings, we have mined and examined user comments for sentimental keywords as part of the sentimental based product rating system project. Positive and negative sentimental keywords were used in the examination of these emotional keywords.

All users have the ability to view the comments left by prior users. The system administrator is responsible for entering the product's characteristics, details, and associated sentimental keywords based on product comments into the system database. Any user of this system can quickly locate the product they want from the system's database. This method can serve as an effective medium for promoting other items and their marketing. This sentimental product rating system allows the user to create product reviews. These days, a lot of consumers base their purchase decisions on the ratings and reviews of the products. As a result, in order to increase sales and profits, e-commerce web-based programs primarily concentrate on product rating.

Users' purchasing mindsets are influenced by both favorable and negative product remarks, which also establish the product's credibility. The concealed opinions found in reviews have had a significant impact on consumers, who rely on them to make important purchasing decisions. Users have occasionally shared their thoughts and experiences regarding a product in their comments, which has greatly increased other users' faith in it.

Static Pages and other sections :

These static pages will be available in project Sentiment Analysis Project on Product Rating

• Home Page with good UI
• Home Page will contain an animated slider for images banner
• About us page will be available which will describe about the project
• Contact us page will be available in the project

Technology Used in the project Sentiment Analysis Project on Product Rating

We have developed this project using the below technology

• HTML : Page layout has been designed in HTML
• CSS : CSS has been used for all the desigining part
• JavaScript : All the validation task and animations has been developed by JavaScript
• Python : All the business logic has been implemented in Python
• MySQL : MySQL database has been used as database for the project
• Django : Project has been developed over the Django Framework
• Python Library : We have used numpy, nltk, pyparsing, PySocks python library

Supported Operating System

We can configure this project on following operating system.

• Windows : This project can easily be configured on windows operating system. For running this project on Windows system, you will have to install Python 3, PIP, Django.
• Linux : We can run this project also on all versions of Linux operating system
• Mac : We can also easily configured this project on Mac operating system.