Abstract
Text Classification approaches are gaining more and more attention due to the exponential growth of the electronic media. Text representation and classification issues are usually treated as independent problems, but this paper illustrates combined approaches for text classification system. Integer representation is achieved using ASCII values of the each integer and later linear regression is applied for efficient classification of text documents. An extensive experimentation using nearest neighbor supervised learning algorithms on four publically available corpuses are carried out to reveal the efficiency of the proposed technique.
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