Design And Implementation Of User Evaluation-oriented Product Evaluation System

Today,with the rapid development of the Internet,e-commerce,especially mobile e-commerce,has achieved rapid development with the promotion of many emerging technologies.Internet e-commerce sites have got rid of the restrictions of physical stores and regions and gained the favor of consumers with their rich commodity types and convenient shopping experience.People's consumption mode has also changed,and the consumption mode of online shopping is gradually accepted by people.A large number of users conduct purchase,order,payment,evaluation and other activities on e-commerce websites,and the massive e-commerce data generated thereby contains a lot of information with commercial value.Most of the existing e-commerce reviews are in the form of star rating,which cannot directly reflect the specific features of the goods.The amount of user comment data on e-commerce platforms is often extremely large.Analyzing users' interests and preferences from massive text type comments and extracting topics that users care about have become a fundamental and key problem that must be faced and solved when precision marketing is conducted on users.Providing users with more comprehensive product evaluation information is not only conducive to users' quick access to product experience,but also conducive to e-commerce enterprises to improve the quality of products and services according to market demand.This study collects a large amount of user comment data from the e-commerce platform,USES the improved emotion dictionary in the field of e-commerce to conduct emotion analysis of user comment,and designs and implements the product evaluation system for user comment.Since the affective dictionary is highly dependent on the quality of the affective dictionary,which is closely related to the topic described,and different words may have completely opposite emotional tendencies in different fields,the construction of a high-quality affective dictionary is the key to improve the accuracy of the affective dictionary.On the basis of the general emotion dictionary to join this study collected network with emotional color words as a basic emotional lexicon,reasonable selection of feature words in the field of electricity as a candidate to expand basic emotional lexicon,emotional words use adverbs of degree and negative comment text for weighted emotional score,according to the emotional score to evaluate products and in the form of visual display.The results show that the product evaluation system can better distinguish-the emotional tendency of user comments,and calculate a reasonable emotional score based on user comments.The lexicon can intuitively show the product features that users pay the most attention to,which has good practicability.This study strictly follows the software engineering development process,from the demand analysis,system design and implementation,system testing and other aspects of the commodity evaluation system is described in detail.