Project Domain / Category
Abstract / Introduction
If you have a physical store, you are limited by the geographical area that you can service. With an ecommerce website, the whole world is your playground. Additionally, the advent of m-commerce, i.e e-commerce on mobile devices, has dissolved every remaining limitation of geography.
It is no longer about pushing a shopping cart to the correct aisle or scouting for the desired product. On an ecommerce website, customers can click through intuitive navigation or use a search box to narrow down their product search immediately. Some websites remember customer preferences and shopping lists to facilitate repeat purchase.
It is not unusual for customers to travel long distances to reach their preferred physical store. ecommerce allows them to visit the same store virtually, with just a few mouse clicks. e-commerce facilitates comparison shopping. There are several online services that allow customers to browse multiple e-commerce merchants and find the best prices.
There are many users who purchase products through e-commerce websites. Through online shopping many e-commerce enterprises were unable to know whether the customers are satisfied by the services provided by the firm.
So we need to develop a system where various customers give reviews about the product and online
shopping services, which in turn help the e-commerce enterprises and manufacturers to get customer
opinion to improve service and merchandise through mining customer reviews. We will track and
manage customer reviews, through mining topics and sentiment orientation from online customer
In this system user will view various products and can purchase products online. Customer
gives review about the merchandise and online shopping services. Certain keywords mentioned in
the customer review will be mined and will be matched with the keywords which are already exist in
the database based on the comparison, system will rate the product and services provided by the
This system will help many E – commerce enterprises to improve or maintain their services based on the customer review as well as to improve the merchandise based on the customer review. We use a database of sentiment based keywords along with positivity or negativity weight in database.
This system is a web application where user will view various products and purchase products online and can give review
about the merchandise and online shopping services.
This system will help many e-commerce enterprises to improve or maintain their services based on the customer review as well as to improve the merchandise based on the customer review.
FR1: Users should be able to share his/her view about the merchandise and online shopping service.
FR2: Users should be able to rate the merchandise and online shopping services.
FR3: The system takes review of various users, based on the review; users can easily decide whether
the products and services provided by the e-Commerce enterprise are good, bad or worst.
FR4: With positivity or negativity weight in database and then based on these sentiment keywords
mined in customer review, users will be able to see the ranked products and services provided by the