Example: Amazon Fine Food Reviews


Amazon received over 560,000 reviews from ~250,000 users since October 2012 regarding their fine foods. Reviews for over 74,000 products consist of product and user information, ratings, and a plain text review. No business owner has the time nor the energy to go through each individual review. Kuttt evaluates collections of reviews and performs sentiment analysis to categorize positive and negative reviews. From there, the results are mapped into positive and negative word clouds to share the most common praises and complaints users have with the product at hand.


Word Cloud for Good Reviews
Word Cloud for Bad Reviews




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