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Part of the Speech Tag (POS) Function Selection for Text Classification

I have suggestions for POS tags that can be obtained using the Stesford POS tester. For instance:

The / DT Island / NN was / VBD very / RB beautiful / JJ. /. I / PRP love / VBP it / PRP. /.

(xml format is also available)

Can anyone explain how to make a function selection from these POS tag sentences and convert them into a vector function for classifying text using machine learning.

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An easy way to start would be something like the following (assuming the word order is not important for your classification algorithm).

. . , , . , , , , , . - /POS .

, . , - -. - , .. chi-squared, . , , 10% , .

, . , - , , . , .

, , -

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