Cope & Respond Quickly & Effectively
Natural disasters pose heavy challenges to authorities, as common communication lines experience overload or disruption. Massive amounts of web data are available and frequently accessible. Social media and the evolution of information sharing have transpired as critical elements of emergency awareness and effective response. People often use social media to alert the public of crises and events in emergency situations, reporting location(s) and other relevant data. Proper use of this web data from vigilant monitoring and identification of location-based crises in various regions can benefit the resolution of natural disaster emergencies.
Our solutions harness the power of social media, monitoring and scanning networks with the aim to harvest relevant or location-based chatter. Sifting through relevant mentions on social has improved response to crises and emergencies. As social media activity escalates during times of natural disasters, our platforms leverage the data to locate and provide victims with necessary emergency aid.
GEOFENCING AND ALERTING
Cobwebs provides geolocation discovery modules, empowering users with simplified extraction of web content from geographically defined location-based radiuses, via GPS-derived posts, photos, videos, statuses and more. Our system’s AI tools geolocate text entities while offering enhanced geofencing capabilities, analytics and alerts.
Monitor social media, surface, deep and dark web layers continuously to collect new data and receive relevant intelligence, insight, and alerts. Leading artificial intelligence algorithms conduct statistical calculations with learned models, offering predictive insights, like deviations in targets’ activities, changes in sentiment and other unconventional anomalies.
NATURAL LANGUAGE PROCESSING
Isolate and extract context of messages and text, as our natural language processing algorithms continuously process collected text. Our system’s automation technology identifies common entity types in multilingual text, from people, to organizations, locations and more, while also providing sentiment types and supporting a multitude of languages.