Nuvi Combines Emotional Analysis with NLP for Enhanced Customer...
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Nuvi Combines Emotional Analysis with NLP for Enhanced Customer Insights

By: Retail CIO Outlook | Tuesday, August 25, 2020

Nuvi's Natural Language Processing (NLP) engine has been improved and combined with emotional analysis that will enhance the quality of data for marketers and brands

FREMONT, CA: Nuvi is a leading provider of Social Customer Experience (CX) platform. The company has announced its release of emotion analytics (EA) software, the latest addition to the patented language engine.

While consulting with several high-profile brands, Nuvi has understood that the integration of emotion and sentiment analysis is necessary as the companies pursue in-depth audience data that will be more relevant. To meet this requirement, many social and online mentions have started to manually explain machine-learning models, offering a higher level of accurate emotional analysis.

Jake Jenne, VP of Product at Nuvi, stated, "In the world of social media analytics, we often think of sentiment as a key data point for understanding content en masse expounded on why Nuvi went to such great lengths to include emotion analytics in its software." "Emotion analysis is a finer-grained form of sentiment analysis that helps brands better connect with and understand their customers."

Nuvi's emotion analytics is available on Rober Plutchik's wheel of emotion, known as the Plutchik Model. Plutchik's psychoevolutionary categorization for general emotional responses reflects eight emotions as primary because of their inherent participation in triggering behavior. These emotions can be classified as anger, fear, sadness, disgust, surprise, anticipation, trust, and joy.

According to Plutchik's logic, Nuvi's emotion analytics conveys the emotional importance in written communication to analyze every author's emotional probability toward an action that the suggested emotion might cause. Emotions analysis merges with Nuvi's unique method to data visualization, further improving the granularity through which the brands can analyze customer behavior and trends.

A technology-marketing veteran, Dan Emodi, described the power of emotion analysis as "Understanding emotion applies to almost everything we do, from working out to understanding brands to providing service and call centers to interacting with our loved ones."

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