Schapire, Robert E.; Singer, Yoram BoosTexter: A boosting-based system for text categorization. (English) Zbl 0951.68561 Mach. Learn. 39, No. 2-3, 135-168 (2000). Summary: This work focuses on algorithms which learn from examples to perform multiclass text and speech categorization tasks. Our approach is based on a new and improved family of boosting algorithms. We describe in detail an implementation, called BoosTexter, of the new boosting algorithms for text categorization tasks. We present results comparing the performance of BoosTexter and a number of other text-categorization algorithms on a variety of tasks. We conclude by describing the application of our system to automatic call-type identification from unconstrained spoken customer responses. Cited in 74 Documents MSC: 68U15 Computing methodologies for text processing; mathematical typography 68T05 Learning and adaptive systems in artificial intelligence Keywords:text and speech categorization; text-categorization algorithms Software:BoosTexter PDFBibTeX XMLCite \textit{R. E. Schapire} and \textit{Y. Singer}, Mach. Learn. 39, No. 2--3, 135--168 (2000; Zbl 0951.68561) Full Text: DOI