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Advanced Text Mining: Classification of textual data from various feedback forums

A computer technology company wanted an automatic solution to classify customer problems and complaints that were posted on the company's Tech Forums as well as agent transcripts associated with customer calls that were stored in databases. It wanted a "text mining and codification engine" to which Natural Language Processing could be applied to categorize conversations automatically and thus aid Microsoft in analyzing text data objectively and quantitatively. The solution provided had four major milestones: Data Access, Data Loading, Classification Design, Development Accuracy, and Validation Accuracy. The text mining framework provided was able to categorize the texts automatically into five stages of classification. Thus with the assurance of accurate results, the company was able to take quick informed decisions based on customer feedback. Read more at:

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