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The field of Text Mining has evolved over the past years to analyze textual resources. However, it can be used in several other applications. In this research, we are particularly interested in performing text mining techniques on audio materials after translating them into texts in order to detect the speakers' emotions. We describe our overall methodology(More)
It is vital that data is obtained so that actions can be taken to improve the performance. Such improvement can be measured in terms of improved quality, increased customer satisfaction and decreased cost of quality. Different researchers have proposed software quality models to help measure the quality of software products. These models often include(More)
Most existing research in the area of emotions recognition has focused on short segments or utterances of speech. In this paper we propose a machine learning system for classifying the overall sentiment of long conversations as being Positive or Negative. Our system has three main phases, first it divides a call into short segments, second it applies(More)
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