Product Review Analysis For Rating Machine Learning
Also Available Domains Web Applications
Abstract
Product Review Analysis for rating machine learning.
Abstract:
This Application is used to get a product at its best choice and price. Users are allowed to view all the products with various and different types of reviews, rating and comments etc. this application is for the user’s simplicity so it shows the overall average rating of a particular product. In this application user can compare two different products with rating, review, comments and costs etc.The system is meant to give a rough as well as much detailed idea of whether the user should go for a product. This application has listed sellers who are ready to sale various products in this application; the inventory list is completely maintained by the admin. Based upon the product review and comments analysis the user can assume whether the product is genuine or not, this product is genuine up to 99.9% approximately. The users can check out all the products using the features offered in this application. Users are also allowed to give rating and feedback once they purchased the product.
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Block Diagram
Specifications
SOFTWARE FRONT END REQUIREMENTS
H/W CONFIGURATION:
Processor- I3/Intel Processor
Hard Disk- 160GB
Key Board- Standard Windows Keyboard
Mouse - Two or Three Button Mouse
Monitor - SVGA
RAM- 8GB
S/W CONFIGURATION:
Operating System: Windows 7/8/10
Server side Script: HTML, CSS, Bootstrap & JS
Programming Language: Python
Libraries: Flask, Pandas, Mysql.connector, Os, Smtplib, Numpy
IDE/Workbench: PyCharm
Technology: Python 3.6+
Server Deployment: Xampp Server
Related Projects
Paper Publishing
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