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Applications of Text Classification to Enterprise Support Documents

Abstract

In the business world today there is a vast amount of information, and in order to process this information it must be structured. I develop a set of classifiers and corresponding user interfaces to assign tags to data that correspond with a structured framework. The classifiers are applied through a case study in the support area of a major networking company. The three classifiers provide tags for technical support documents with an F measure of .585, customer service requests with an F measure of .706, and customer support forum messages with an F measure of .78.

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