E-Commerce Product Rating
E Commerce Product Rating dot net project report Many users buy products through E-commerce internet site. Through online shopping many E-commerce were inadequate to notice whether the buyers are fulfilled by the services provided by the firms. Click here to get complete Dot Net projects lists.
This affix us to establish a scheme where many buyers give reviews about the product and e- shopping services, which in turn advice the E-commerce enterprises and manufacturers to get customer idea to enhance service and merchandise through mining buyer reviews. An algorithm could be used to track and handle buyer reviews, through mining topics and sentiment orientation from online customer reviews. In this system buyer will view various products and can buy products online.
Conclusion
In this E Commerce Product Rating dot net project report paper, we have proposed a product aspect ranking algorithm to identify the important aspects of products from various buyer reviews. The framework consists three main components, i.e., product aspect identification, aspect sentiment classification, and aspect ranking. First, we oppressed the advantages and disadvantages reviews to improve aspect identification and sentiment classification on free-text reviews. We then establish a probabilistic aspect ranking algorithm to induce the seriousness of different aspects of a product from various reviews.
System Configuration:
H/W System Configuration:-
System : Pentium I3 Processor.
Hard Disk : 500 GB.
Monitor : Standard LED Monitor
Input Devices : Keyboard
Ram : 4 GB
S/W System Configuration:-
Operating system : Windows 7/8/10.
Available Coding Language : Dot Net and PHP
Database : MYSQL
| Project Name | E-Commerce Product Rating |
| Project Category | Dot Net |
| Project Cost | 65$/ Rs 4999 |
| Delivery Time | 48 Hour |
| For Support | WhatsApp: +91 9481545735 or Email: info@partheniumprojects.com |
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