Sonar

Sonar is a semantic analysis technology that uses machine learning and natural language processing to automate social listening. Rather than counting keyword matches, it reads social conversations for meaning, classifies each mention as positive, negative or neutral, and groups related posts into topics so that large volumes of unstructured chatter become something an analyst can actually work with.

The underlying problem Sonar targets is scale: a brand may be mentioned thousands of times a day in posts that never use the brand's own vocabulary. Semantic analysis is what lets a system catch those indirect references and understand context, which makes sentiment scoring and topic modelling far more reliable than simple string matching.

Sonar is marketed to marketing, brand and insight teams who need to monitor reputation and track how opinion changes over time, but cannot read every post by hand. It sits in the same commercial space as enterprise social listening suites and is typically sold through a sales conversation rather than a self-serve checkout, so pricing is quoted per requirement.

Note: the product's own website was returning TLS errors to our crawlers at review time, and we could not confirm the current interface or feature set directly. The description above reflects the documented capabilities of the product.