What are some common anonymization techniques used in NLP?

What are some common anonymization techniques used in NLP?

Common techniques include tokenization, masking, and generalization to protect sensitive information.

Can you explain how tokenization works?

Tokenization involves breaking down text into smaller units, like words or phrases, to obscure the original data.

What is the difference between masking and generalization?

Masking replaces sensitive data with symbols, while generalization replaces it with broader categories.

Are there any challenges with these techniques?

Yes, challenges include maintaining data utility while ensuring privacy and the risk of re-identification.