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Detecting personal information

With Feedier, you can automatically detect Personal Data such as names, account numbers or groups using Feedier’s NLP Entity detection engine.

Here is an example with a text feedback,

The product was great but I had a terrible experience with Paul Dupont.

Paul Dupont is automatically marked by Feedier as an attribute.

Feedier comes with several attributes which are detected automatically during the Text Analysis:

  • nlp_personal_name

  • nlp_organization

  • nlp_number

Anonymization process

Go to the Actions page

  1. Click Segments → Create a new segment like “All feedback“ with a selctor on “Time Period” “Greater” than “Today”, so it detects and matches all new feedback.

  2. Go to Automations → Select your segment (created in step 1) → Feedback Update.

  3. Set the attribute name to nlp_personal_name and custom text to **** → Click Add

  4. Set the attribute name to nlp_number and custom text to **** → Click Add

  5. Click Save

Now, whenever Feedier will detect a Personal name or large number (such as account ID), they will be replaced by **** automatically.

It will only work for new feedback entries.

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