The NetOwl Blog

  • Uncovering Adverse Information with Entity Extraction: a Use Case

    October 14, 2019

    Uncovering Adverse Information with Entity Extraction: a Use Case

    Identifying adverse information in today’s fast-moving global economy requires real-time mining of text-based Big Data from worldwide sources.

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  • The Challenges of Arabic Name Matching for AML

    September 30, 2019

    The Challenges of Arabic Name Matching for AML

    Matching transliterated Arabic names is hard enough, let alone matching names in Arabic script against transliterated names.

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  • What is Entity-Based Sentiment Analysis?

    September 19, 2019

    What is Entity-Based Sentiment Analysis?

    There is so much opinion data out there, but how do we know what people are actually saying?

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  • Geotagging Text for Advanced GIS

    September 11, 2019

    Geotagging Text for Advanced GIS

    GIS tools rely mostly on structured data, but what about all the geospatial intelligence buried in unstructured data?

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  • How Entity Extraction Identifies Adverse Information on PEPs

    August 30, 2019

    How Entity Extraction Identifies Adverse Information on PEPs

    Doing business in a global economy carries unique compliance risks that require collecting information from millions of news articles and thousands of sources.

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  • How Name Matching Is Critical to Prevent Financial Fraud

    August 16, 2019

    How Name Matching Is Critical to Prevent Financial Fraud

    Fighting modern financial fraud requires AI-powered technologies

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