E Commerce Product Rating Based On Customer Review Mining

E COMMERCE PRODUCT RATING BASED ON CUSTOMER REVIEW MINING

ABSTRACT

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. This boosts us 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. An algorithm could be used to track and manage customer reviews, through mining topics and sentiment orientation from online customer reviews.

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 enterprise.

This system will use text mining algorithm in order to mine keywords. The System takes review of various users, based on the review, system will specify whether the products and services provided by the E-commerce enterprise is good, bad, or worst. We use a database of sentiment based keywords along with positivity or negativity weight in database and then based on these sentiment keywords mined in user review is ranked.

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.

 

CHAPTER ONE

 INTRODUCTION

• BACKGROUND OF THE STUDY

In today’s world, the Web has become an outstanding way of expressing opinions about all products and service. Most of the Web sites containing such view are astronomically vast and it is promptly incrementing. The buyer reviews in web sites are truly useful for product recommendation in which fulfilledbuyers tell other persons how much they like an originality of product. It begins to be the most credible forms of advertising because persons who do not understand to obtainprivately by recommendingsomething put their good name on the line every time they make aproposal. Therefore, the computationmethod of sentiment and opinion has been observed as a challenging area of research that can benefit to different purposes. Product aspect ranking composed of three principal tasks: Identification of product aspect, classification based on sentiment and Product aspect ranking. Use of web and e-shopping web sites is developing very fast. Many products are available online. Most of the e-shopping sites inspire shopper to address their reviews about products to express their ideas on manyaspects of the products. This gives rise to immense collection of feedbacks on web. These reviews contain rich and beneficial knowledge and have become amain resource for both buyers and firms. Buyers usually look for quality report from online reviews before purchasing a product and firms can use these review as feedback for better product development, buyer relationship management and for the development of new marketing approach. A product may have number of aspects. Some of the product aspects are more significant than the others and have strong influence on the eventual buyer’s decision making as well as firm’s product development strategies. Identification of important product aspects become necessary as both buyers and firms are benefited by this. Buyer can quickly make purchasing decision by paying attention to the significant aspects as well as firms can focus on improving the quality of these aspects and thus enhance product positionaccurately. Generally, a product may have number of aspects. For example, a Smart Phone has hundreds of aspects such as “Screen size," “camera," “memory size," ”sound quality.” one may declare that some aspects are more important than the others, and have strong weight on the buyers’ decision making as well as firms’ product development methods. For example, some aspects of Smart Phone e.g., “camera" and “memory size," are considered important by most of the buyers, and are more important than the others such as “color" and “buttons." Hence, the finding of significant product aspects hit an important role in improving the usability of reviews which is beneficial to both buyers and firms. Buyers can easily make purchasing decision by paying attention to the important aspects, while firms can focus on the improvement of product quality so that product reputation is improved. However, manual identification of important aspects is impractical. Therefore, an approach to automatically identify the important aspects is highly demanded.

 

• STATEMENT OF THE STUDY

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. 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.

The augmentation of mobile users with powerful devices from 2010 onwards has led them to interact with an online business than earlier. The participation of small scale businesses in online business has been increased with the widespread social media networking platforms. Subsequently, users tend to purchase products through e-commerce websites. To remain competitive in the industry e-commerce enterprises should provide higher customer satisfaction which has become problematic to small scale businesses. The study develops an approach to consider customer reviews and online shopping services. This supports the e-commerce enterprises and manufacturers to improve service and merchandise through mining according to the customers' reviews. The keywords in the customer review and the keywords in the database will be mined and matched. Thereafter, the level of the e-commerce enterprise will be categorized accordingly. Based on the sentiment keywords a dataset is created to grade the user review.The problem confronting the study is to appraise e-commerce  product  rating based on customers reviews mining

 

• OBJECTIVE OF THE STUDY

The main objective of the study is to appraise e-commerce  product  rating based on customers reviews mining

 

The specific objective consist of

1. The determination of the nature and significance of e-commerce and ecommerce product  .
2. The determination of the e-commerce  product  rating based on customers reviews mining

 

• SIGNIFICANCE OF THE STUDY

   The study shall proffer solution to the challenges confronted in ecommerce as result of competition by enabling firms to assess the level of acceptance of their products by customers.

It shall also lead to better improvements of ecommerce products.

 

• SCOPE OF THE STUDY

 

The study focuses on the appraisal of e-commerce  product  rating based on customers reviews mining

• LIMITATION OF THE STUDY

The study was confronted with logistics and geographical constraints.

E COMMERCE PRODUCT RATING BASED ON CUSTOMER REVIEW MINING

 

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