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Relevance feedback methods can be adapted for text categorization
As noted before, relevance feedback can be viewed as 2-class classification
Relevant vs. nonrelevant documents
Use standard tf-idf weighted vectors to represent text documents
For training documents in each category, compute a prototype vector by summing the vectors of the training documents in the category.
Prototype = centroid of members of class
Assign test documents to the category with the closest prototype vector based on cosine similarity.
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