EventsMOL2NET'20, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 6th ed.
Published
with-doi10.3390/mol2net-06-06852 (registering DOI)
This submission belongs to the session 09. USEDAT-06: USA-Europe Data Analysis Training Program Workshop, Bilbao, Spain-Cambridge, UK-Miami, USA, 2020 of the event MOL2NET'20, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 6th ed.
Published date
02 Jun, 2020
Citation
Ajit Singh, Social Media Bigdata Analytics for E-Commerce, in Proceedings of MOL2NET'20, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 6th ed., 30 January 2020–30 January 2021, MDPI: Basel, Switzerland, doi: 10.3390/mol2net-06-06852
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Social Media Bigdata Analytics for E-Commerce

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1. Patliputra University, India, India
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
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