Forecasting has never been easier. XWIRE™ P.O.I. generates a dynamic activity view built around keyword searches and topic selection to reveal inflection points and conversation drivers.
XWIRE™ P.O.I. uses Machine Learning algorithms to aid in pattern identification and false profile detection.
Create cross-platform social media monitors on any topic in seconds, and let XWIRE™ P.O.I. continuously float inflection points to your attention, based on preset queries of popularity, sentiment, platform, activity, influence etc. or custom queries in real time.
View activity patterns and post history – identify fake profiles and botnets at a glance. Then, pass the information on to other operators, using integrated in-system notification.
Activity timelines and other graphical data displays within XWIRE™ P.O.I. allow you to stay ahead of changes in trends within any domain. Know when things are heating up, before they boil over.
Since social networks are not just text and keywords, XWIRE™ P.O.I. contextually analyzes organic connections and content – more accurately identifying, flagging, and ranking posts and points of interest.