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Knowledge Generation Using Sentiment Classification Involving Machine Learning on E-Commerce

Knowledge Generation Using Sentiment Classification Involving Machine Learning on E-Commerce

Swarup Kr Ghosh, Sowvik Dey, Anupam Ghosh
Copyright: © 2019 |Volume: 6 |Issue: 2 |Pages: 17
ISSN: 2334-4547|EISSN: 2334-4555|EISBN13: 9781522568315|DOI: 10.4018/IJBAN.2019040104
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MLA

Ghosh, Swarup Kr, et al. "Knowledge Generation Using Sentiment Classification Involving Machine Learning on E-Commerce." IJBAN vol.6, no.2 2019: pp.74-90. http://doi.org/10.4018/IJBAN.2019040104

APA

Ghosh, S. K., Dey, S., & Ghosh, A. (2019). Knowledge Generation Using Sentiment Classification Involving Machine Learning on E-Commerce. International Journal of Business Analytics (IJBAN), 6(2), 74-90. http://doi.org/10.4018/IJBAN.2019040104

Chicago

Ghosh, Swarup Kr, Sowvik Dey, and Anupam Ghosh. "Knowledge Generation Using Sentiment Classification Involving Machine Learning on E-Commerce," International Journal of Business Analytics (IJBAN) 6, no.2: 74-90. http://doi.org/10.4018/IJBAN.2019040104

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Abstract

Sentiment analysis manages the computational treatment of conclusion, notion, and content subjectivity. In this article, three sentiment classes such as positive, negative and neutral emotions have been demonstrated by appropriate features from raw unstructured data followed by data preprocessing steps. Applying best in class social analytics methodology to examine the sentiments embedded with purchaser remarks, encourages both producer and individual customers. Machine learning methods such as Naïve Bayes, maximum entropy classification, Deep Neural Networks were used upon the data, extracted from some websites such as Samsung and Apple for sentiment classification. In the online business arena, the application of sentiment classification explores a great opportunity. The subsidy of such an investigation is that associations can apply the proposed social examination framework to exploit the entire social information on the web and therefore improve their proper blueprint promoting strategies corresponding business.

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