[Purpose/Significance] Through the analysis of government data privacy related texts, designing sensitive data identification scheme, building a privacy measurement model, and measuring the privacy value of sensitive data, this paper provides a theoretical basis for government data privacy protection. [Method/Process] First, filtered the relevant text of government data privacy to build a sample library; Then, according to the syntactic structure of the text, words such as sensitive data items, core verbs, degree words, negative words were extracted, it constructed the semantic vocabulary of government data privacy; Finally, based on the sensitive data unit composed of the above words, it constructed privacy measurement model. [Result/Conclusion] This method is based on privacy related texts, accurately extracts the sensitive data of government data, objectively measures the privacy value of government data objects, and provides support for the privacy risk prevention and privacy protection standardization of government data.
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