In this article, we have discussed sentimental analysis system where we have analyzed product comment’s hidden sentiments to improve the product ratings. This system module has adapted sentimental analysis methodology to obtain desired functionality. This system is an e-commerce based web application, in which the person who is registered in the system, will analyze the product and its features and will represent comments about that product. This system is used to analyze the database comments given by various users so that it will increase the rank of product. In this project sentimental based product rating system, we have analyzed and mined user’s comments to identify sentimental keywords to improve product ratings. For the analysis of these sentimental keywords, we have used positive and negative sentimental based keywords obtained from database of user’s product comments. The analysis of product comments is done through comparative analysis with product comment keywords stored in the database. This sentimental product rating analysis system can able to judge about the product whether it is good or bad or worst based on its comments given by various users of different parts of country. To view product description and its features, user has to login into the system. After reading product description and its features, user is allowed to comment about that product.
Every user can able to read the comments that are given by other previous users. System admin has to enter product details and its features into the system database and its related sentimental product comment based keywords. By using this system, any user can easily find out his/ her desired product from the database of the system. This system can act as good platform for spreading awareness about other products and for their advertisements. User can generate product reviews using this sentimental product rating system. Now days, lot of people makes their buying decision about product based on that product ratings and reviews. Because of this, e-commerce web based applications are mostly focused on product rating to improve their sales and profits.
The positive and negative product comments are responsible to generate positive and negative sentiments to user’s buying mentality and to create their trust towards that product. The sentiments which are hidden inside reviews have created huge impact on to the buyers as it is responsible to make their buying decisions. Sometimes through comments, users have expressed their feelings and experience about that product which will gain huge trust of other users for the product.
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
- 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.