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Learn how to Extract Private Data from Textual content Corpus Utilizing NER Like a Professional
Introduction
Okay, think about this — you’ve acquired mountains of articles, journals, and blogs filled with data that you simply wish to course of. Now think about you assume it is going to be useful for the neighborhood too in the event that they get an opportunity to work with this information, HOWEVER, you wouldn’t wish to share the information straight away as it could comprise sure private data that shouldn’t be shared with out the consent of these folks.
Because it’s not viable to ask for permission from all these folks, you resolve to make use of your expertise and masks any private data underneath FERPA tips. It is not uncommon for corporations to masks their information when sharing it exterior for evaluation or demo functions and it’s simpler with numeric information. And right here we wish to do the identical however with textual information.
Now right here, since we’re speaking about textual content information, we will likely be using a method in Pure Language Processing (NLP). Enter Named Entity Recognition (NER), a trusty NLP detective unlocking these hidden information treasures. The aim right here is to determine the non-public data.
Let’s dive deeper into how NER works, the idea behind the NER mechanism, methods to implement NER, which…
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