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Social Media Bigdata Analytics for E-Commerce
Published:
02 June 2020
by MDPI
in MOL2NET'20, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 6th ed.
congress USEDAT-06: USA-Europe Data Analysis Training Program Workshop, Bilbao, Spain-Cambridge, UK-Miami, USA, 2020
https://doi.org/10.3390/mol2net-06-06852
(registering DOI)
Abstract:
Social media analytics plays an important role in e-commerce for retrieving the useful information of a product or service. Sentiment Analysis has become the key function of social media analytics. Opinion Mining is to used to analyze the polarity of sentiment expressed in data .Taking the data flood from online social media, in its many forms, and transforming it into useful knowledge for strategic decision making is the backbone of this paper. The paper proposes a model for doing customer review analytics on social media using big data for improving target advertising and improved business decision making.
Keywords: E-commerce; Social Media; Analytics, NLP; Corpus
Comments on this paper
Amanda Loreens
10 August 2021
Nice!
E-commerce websites provide the customer with a wider choice to select from a large collection of goods and services. This way it makes it easier for the customer to locate the required items by browsing through the collection of items. The customer can buy them online through the website of the company, without having to go out from the house or visiting any physical store. This makes the process of buying goods or services convenient for the customer. The concept of e-commerce - https://www.sam-solutions.com/services/e-commerce/ has brought many changes in the field of businesses as it enables sellers to reach out to more consumers and increase the sales through online sales.
