What are some effective techniques for NLP anonymization?

What are some effective techniques for NLP anonymization?

There are several techniques for NLP anonymization, including tokenization, data masking, and generalization. Would you like to know more about any specific technique?

Can you explain tokenization in more detail?

Tokenization involves breaking down text into smaller units, like words or phrases, which can then be anonymized individually. This helps in preserving the structure while removing sensitive information.

What is data masking?

Data masking is a technique where sensitive information is replaced with fictional data that looks real but is not. This is useful for protecting privacy while still allowing data analysis.

How does generalization work in anonymization?

Generalization involves replacing specific data with broader categories. For example, instead of using a specific age, you might use an age range like '20-30' to anonymize the data.