Topic Classification for Conversational Speech using Support Vector Machines and Latent Semantic Analysis
by
Dustin Hillard
BibTeX
@MISC{Hillard_topicclassification,
author = {Dustin Hillard},
title = {Topic Classification for Conversational Speech using Support Vector Machines and Latent Semantic Analysis},
year = {}
}
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Abstract
Support vector machines and latent semantic analysis are implemented to develop a topic detection system for conversational speech. Conversations are represented by a vector with word features similar to mutual information.
Citations
| 2168 | R.A.: Indexing by latent semantic analysis - Deerwester, Dumais, et al. - 1990 |
| 1368 | Text categorization with support vector machines - Joachims - 1998 |
| 170 | M: An algorithm for suffix stripping. Program - Porter - 1980 |
| 45 | Advances in Kernel Methods: Support Vector Learning, Editors B.Scholkopf - Joachims - 1999 |
| 23 | Why inverse document frequency - Papineni - 1995 |
| 16 | Text categorization based on weighted inverse document frequency - Tokunaga, Iwayama - 1994 |
| 14 | The Nature of Statistical Learning Theory - Vapnic - 1995 |
