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General introduction

The automated system for collecting, analyzing, and linking events and entities from the internet is a system that automatically collects and extracts information from various sources such as news and social media. Using the most powerful natural language processing technologies, our system automat- ically classifies content, extracts and identifies entities/events that are currently happening or about to happen, to serve various purposes: early detection and warning, monitoring, and tracking when information starts appearing on news and social media.

Feature

  • Our system collects, extracts, and analyzes data from digital news and social media to provide comprehensive and interconnected news updates between prominent entities and events.
  • Entity recognition
  • Event detection, classification, and extraction
  • Duplicate detection and tracing article’s origin
  • Automated timeline generation
  • Identification of hot and prominent events
  • Automatic data collection related to keywords
  • Display of information in tabular format or graphics on digital maps
  • Alerting based on event’s interest level
  • Statistics, reports, and news bulletins.

Specification

Number of news sources collected simultaneously

Unlimited

Type of news sources

Online newspapers, forums, blogs, social media

Information collection frequency

< 5 minutes

Entity identification accuracy

Up to 90%

Number of monitored keywords at the same time

Up to 20 keywords

Deployment method

On-premise/ User account/ Data service