SYSTEM FOR SENTIMENT ANALYSIS AND CLASSIFICATION OF E-COMMERCE PRODUCTS

Abstract

ABSTRACT A system (100) for sentiment analysis and classification of e-commerce products, comprising a user interface (102) to enable a user to input a user resource locator (URL) of an e-commerce website, a web scraping module (104) configured within the user interface (102) to retrieve reviews of one or more products from the e-commerce website, a database (106) communicatively linked to the user interface (102) to store one or more classes of review parameters and the reviews of the one or more products retrieved by the web scraping module (104) and a processor (108). The processor (108) is configured to clean the reviews of the one or more products by balancing the distribution of the one or more classes of review parameters, analyse the reviews based on the store one or more classes of review parameters and display a summary of the reviews over the user interface (102).

Specification

Description:FIELD OF THE DISCLOSURE
[0001] This invention generally relates to a field of e-commerce products and in particular relates to a system for sentiment analysis and classification of the e-commerce products.
BACKGROUND

[0002] The subject matter discussed in the background section should not be assumed to be prior art merely as a result of its mention in the background section. Similarly, a problem mentioned in the background section or associated with the subject matter of the background section should not be assumed to have been previously recognized in the prior art. The subject matter in the background section merely represents different approaches, which in and of themselves may also correspond to implementations of the claimed technology.
[0003] Current sentiment analysis tools are limited in scope and functionality. Many existing systems lack the capability to retrieve reviews directly from e-commerce sites and often require manually downloaded datasets for analysis. These tools may also fail to accur , Claims:1. A system (100) for sentiment analysis and classification of e-commerce products, the system (100) comprises:
a user interface (102) configured to enable a user to input a user resource locator (URL) of an e-commerce website;
a web scraping module (104) configured within the user interface, wherein the web scraping module is configured to retrieve reviews of one or more products from the e-commerce website;
a database (106) communicatively linked to the user interface, wherein the database is configured to store one or more classes of review parameters and the reviews of the one or more products retrieved by the web scraping module; and
a processor (108) coupled to the user interface and the database, wherein the processor (108) is configured to:
clean the reviews of the one or more products by balancing the distribution of the one or more classes of review parameters;
analyse the reviews of the one or more products based on the store one or more classes of review parameters; and
display a summary of the

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