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Converseon Advances AI-Based Text Analytics

According to the company, Conversus 4.0 puts the power of machine-learning in the hands of users via an intuitive dashboard to allow them to generate actionable insight and business results by separating meaningful signals from the noise associated with unstructured social and VoC data.

Conversus allows users to clean and normalize unstructured data, but also build machine-learning-powered custom classifiers to unlock the value of social listening data. Examples of these classifiers include sentiment, emotion, intensity, advocacy, customer care, purchase intent, brand health attributes, customer care, predictive analytics and customer experience analysis. The active learning approach enables users to go beyond basic text analytics analysis capabilities to custom-tune the analysis to client requirements with human-level precision, but at the speed and scale of software.

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