Research Article
A Probabilistic Privacy Preserving Strategy for Word-of-Mouth Social Networks
Input: text | Output: the vectorization result of text | | | Let section(D) be the segmentation result of the text D | For each segmentation in section(D) do | Word set NLPIRsegmentword(); | For each in words set do | While stop words list contains do | Remove from word set | Textract features in | For each in T do | count()/countword() | | | Return |
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