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Classification accuracy using different bag of words

In this post I show how the accuracy of the classifier is influenced by the bag of words. 
The test has been done on a naive classifier but it returns good information about the data set.

The above image is an example of the bag of words used in the experiment (using the Closeness Centrality function): the red features depict higher CC values, the violet depict lower CC values

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