The Decision Intelligence application for Twitter Sentiment enables companies to understand unsolicited public opinion about marketing initiatives, products and services.

Utilizing textual data extraction in combination with analytics and visualization, the most common topics related to an entity (company, product, service) are captured.

For each topic the number of unique twitters over a period of time, plus trends, are presented. The value is significantly enhanced by presenting the sentiment (positive, neutral or negative) of tweets per topic. Understanding which topics are being socialized and the comment volume provides a holistic perspective. Social reach is determined for the individual twitter sources thus providing an indication of the social bandwidth of an opinion. Drill down to the source and content of each tweet related to a specific topic can be visualized providing deeper understanding and enabling follow-up.