– Matt Brum, Director of Digital Strategy and Social Media, BMLG

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Sprout’s sentiment analysis is built using a machine slovakia b2b leads learning technique called a Deep Neural Network (DNN). When ‌you receive a new review or social message, the DNN computes a probability score to determine whether the content is positive, negative or neutral. Messages are automatically given a sentiment label, but users can change those classifications if needed.

Brands use this tool in collaboration with the Tagging feature to better understand the sentiment driving trends in customer feedback. For example, an automotive brand can create a Tag for feedback specific to their dealership experience. From there, they can filter Tagged messages by sentiment classification for deeper insights—like all the feedback about a positive dealership experience.

Feeling inspired by these sentiment analysis examples?
You know what they say about inspiration. It’s like a spark; you have to act on it before it fades.

Schedule a demo of Sprout Social’s social media listening tools for a personalized assessment of your social strategy. Our team will put you on the path to getting more from your audience sentiment data, so you can drive even more impact from social, faster.