The NetOwl Blog

  • 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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  • Reduce Errors in Consumer Reports with AI-Based Identity Resolution

    September 10, 2018

    Reduce Errors in Consumer Reports with AI-Based Identity Resolution

    Producing accurate consumer reports from multiple sources is a challenging task where errors are not uncommon. With so much at stake for hundreds of millions of consumers, how can the accuracy of consumer reports be maximized?

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  • Evaluating Marketing Campaign Performance with Sentiment Analysis

    September 01, 2018

    Evaluating Marketing Campaign Performance with Sentiment Analysis

    Marketing campaigns are designed to drive some action by the public. But how can we assess their performance and that they were indeed received as intended?

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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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  • Got Data Quality Issues? Name Matching Can Fix Them for You

    August 10, 2018

    Got Data Quality Issues? Name Matching Can Fix Them for You

    In today’s digital world, structured data is one of the most critical assets for an organizaiton. Yet, structured data is often flawed and duplicated. Accurate and real-time data cleansing of large databases is a complex problem that calls for the most sophisticated technology.

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  • Social Media, Sentiment Analysis, and the Financial Markets

    July 31, 2018

    Social Media, Sentiment Analysis, and the Financial Markets

    Much has been written about the predictive value of social media and sentiment analysis for the financial markets. When the stakes are so high, it is critical that sentiment analysis be accurate, comprehensive, scalable, and real-time.

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