AI Content Emotion Analyzer

Web design for Watsonfinds a sentiment analysis that predicts the evoked emotions by a piece of content.

IBM was one of the first companies who started building solutions with artificial intelligence and I was amazed by this new approach, specially by the Tone Analyzer.

Inspired by this, Max Ortu and I, had the idea to create a sentiment analysis that could provide, to authors, copywriters and all kinds of content creators, insights about the emotional tones of their content and a way to determine the emotions that their audience may perceive as they read it.

At first we designed a product that would connect and fetch the data from IBM Watson’s core, later on, we relied on Max’s past experience in Machine Learning to create our own data classifier, which is now the core of most of the products that we are still working on together.

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