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Synapse
May 1, 2018262 citations

Sentiment analysis on large scale Amazon product reviews

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THTanjim Ul HaqueNSNudrat Nawal SaberFSFaisal Muhammad Shah

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Abstract

The world we see nowadays is becoming more digitalized. In this digitalized world e-commerce is taking the ascendancy by making products available within the reach of customers where the customer doesn't have to go out of their house. As now a day's people are relying on online products so the importance of a review is going higher. For selecting a product, a customer needs to go through thousands of reviews to understand a product. But in this prospering day of machine learning, going through thousands of reviews would be much easier if a model is used to polarize those reviews and learn from it. We used supervised learning method on a large scale amazon dataset to polarize it and get satisfactory accuracy.

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Cite This Study

Haque et al. (2018) studied this question.

synapsesocial.com/papers/6a0ef3c853f874f2b222fdd9https://doi.org/10.1109/icird.2018.8376299
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

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  5. 5Mining comparative opinions from customer reviews for Competitive Intelligence2010 · 304 citations