Category: Entity Extraction

  • Entity Extraction and Redaction: Safeguarding Information Privacy

    September 21, 2018

    Entity Extraction and Redaction: Safeguarding Information Privacy

    In the Digital Era, when so much data is being stored and exchanged, information privacy is a top concern. We discuss how Entity Extraction solves the challenge of preserving information privacy.

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  • Mining Social Media for Situational Awareness with Entity Extraction

    August 20, 2018

    Mining Social Media for Situational Awareness with Entity Extraction

    During unfolding crises, social media is often a source of valuable, real-time information for situational awareness and relief planning efforts.

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  • Filling in the Crime Intelligence Gaps with Entity Extraction

    July 23, 2018

    Filling in the Crime Intelligence Gaps with Entity Extraction

    Law enforcement agencies like the FBI receive high volumes of critical information in the form of unstructured data. Gleaning insights in a timely manner from all this unstructured data is often critical to resolving a case.

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  • Calling the Election: Sentiment Analysis for Election Campaign Monitoring

    June 29, 2018

    Calling the Election: Sentiment Analysis for Election Campaign Monitoring

    The explosion of social media has made available an unprecedented amount of opinion data of great value when monitoring election campaigns. The challenge is how to analyze such a staggering volume of data in real time.

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  • Knowledge is Power: Entity Extraction for Cyber Threat Intelligence

    June 20, 2018

    Knowledge is Power: Entity Extraction for Cyber Threat Intelligence

    Cyber attacks are one of the top threats in today's world. Traditional cyber security has focused on network activity logs. There is, however, great largely-untapped threat intelligence in unstructured data.

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  • Entity Extraction for Faster, Cost-Effective, and Accurate e-Discovery

    May 17, 2018

    Entity Extraction for Faster, Cost-Effective, and Accurate e-Discovery

    The challenge with e-Discovery is how to narrow down a large collection of ESI to a much smaller set of relevant documents for analysis.

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