Case Study

Formulate Personalized CX with Intelligent Sentiment Analytics

Formulate Personalized CX with Intelligent Sentiment Analytics

Pages 4 Pages

An electronics and communications giant partnered with Aspire Systems to improve customer experience through intelligent sentiment analytics. The company struggled with analyzing emotions from video, audio, and feedback due to manual methods and lack of advanced tools. Aspire built a solution using OpenCV and deep learning for video emotion tracking, NLP for multilingual audio analysis, and Vader sentiment tools for text feedback. This delivered consistent insights, enhanced quality assessment, and data-driven decision-making, enabling personalized CX through clear understanding of user emotions and more engaging, targeted content.

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