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Statistical classification is the problem of identifying the sub-population to which new observations belong, where the identity of the sub-population is unknown, on the basis of a training set of data containing observations whose sub-population is known. Therefore these classifications will show a variable behavior which can be studied by statistics.

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Is there an NLP or text classification method for word order and pre-specification of terms?

It sounds like there are two things you want here: A text classification method that takes word order into account (specifically keeping track of which words are negated) A method to allow the end user … The drawback of using n-grams in text classification is that you'll generally need more training data if you want the classifier to perform better, since moving from 1-grams to 2-grams effectively squares …
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