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Table 1 Identification of globally infrequent bigrams

From: A privacy-preserving distributed filtering framework for NLP artifacts

Data Owner Frequency of the bigram Flu-fever Frequency of the bigram Cancer-pain Frequency of the bigram Diabetes-glaucoma
A 10 15 20
B 20 15 10
C 5 15 25
Total 35 45 55
  1. Let us consider the data of the above table. Assume, the threshold value is 40. Since total count of Flu-fever (35) is less than the threshold value (40), it will not be considered privacy-sensitive