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by Muralidhar Chavan, Manjula Hosurmath, Vishal Chahal | Updated December 13, 2017 - Published December 12, 2017
AnalyticsArtificial intelligenceData science
Have you ever tried to identify personal data from unstructured text? If you have, then you know it can be a daunting task. IBM Watson Natural Language Understanding together with Watson Knowledge Studio provides an effective way of identifying necessary information from unstructured documents. The result can be augmented with regular expressions, and personal data identified is provided a score based on which further processing or consuming can be done.
In this developer pattern, we show you how to build a custom model using Watson Knowledge Studio and use it to identify personal data from unstructured documents. The pattern also augments the results with regex parsers.
When you have completed this pattern, you will understand how to:
Find the detailed steps for this pattern in the readme file. The steps will show you how to:
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