At the heart of the textual monitoring process, whether it is applied to written or audio forms, lies our semantic technology. It allows us to analyse the content of various public sources (social networks, blogs and forums, but also TV, newspapers, radio and so on) and build up an accurate picture of how often, and in what terms, particular issues of interest are discussed. Through the attribution of a mood to the processed documents and the identification of a sentiment in regard to the issues or subjects in question, we can form a picture of the emotional climate surrounding a particular subject or event, and evaluate your current reputation among the public. Furthermore, by cross-referencing the surveying of relevant issues with indications of their general perception and social valuation, we can foresee developments and changing trends in publicity.
In addition, our semantic system is based on Artificial Intelligence algorithms that allow it to learn independently over time.