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Multilingual customer sentiment engine

NUT Botanicals · Consumer Feedback / Marketing

+30% Customer satisfaction
+25% Product quality
−20% Complaint volume
Image: Zuko.io Images · CC BY

Challenge

NUT struggled to make sense of scattered customer feedback across platforms. The goal was to understand sentiment and drive product strategy.

Solution

A multilingual sentiment-classification engine that aggregates feedback from social media, e-commerce platforms, and surveys, then classifies it with machine-learning models (Naive Bayes, SVM, BERT) to support strategic decisions.

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