GTP (general text parser) software for text mining

Statistical Data Mining and Knowledge Discovery

Volumn , Issue , 2003, Pages 455-471

  Giles, Justin T ^a   Wo, Ling ^a   Berry, Michael W ^a  

^a University of Tennessee Knoxville   (United States)

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EID: 33646729498     PISSN: None     EISSN: None     Source Type: Book    
DOI: None     Document Type: Chapter

References (9)

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2. Berry, M.W. (1990). Multiprocessor Sparse SVD Algorithms and Applications. PhD Thesis, University of Illinois at Urbana-Champaign, Urbana, IL, October.
3. Berry, M. and Browne, M. (1999). Understanding Search Engines: Mathematical Modeling and Text Retrieval. SIAM, Philadelphia, PA.
4. Berry, M.W., Do, T., O’Brien, G., Krishna, V., and Varadhan, S. (1993). SVD-PACKC (Version 1.0) User’s Guide. Technical Report No. CS-93-194, Depart-ment of Computer Science, University of Tennessee.
5. Berry, M.W., Drmac, Z., and Jessup, E.R. (1999). Matrices, Vector Spaces, and Information Retrieval. SIAM Review 41(2),335-362.
6. Hughey, M.K. (2000). Improved Query Matching Using kd-Trees: A Latent Semantic Indexing Enhancement. Information Retrieval (2), 287-302, Information Retrieval (2), 287-302, 2000.
7. Letsche, T.A. (1997). Large-Scale Information Retrieval with Latent Semantic Indexing. Information Sciences, (100), 105-137.
8. Lynn, P.A. (2002). Evolving the General Text Parser (GTP) Utility into a Usable Application via Interface Design. MS Thesis, Department of Computer Science, University of Tennessee, Knoxville, December.
9. Snir, M., Otto, S., Huss-Lederman, S., Walker, D., and Dongarra, J. (1995). MPI: The Complete Reference. MIT Press, Cambridge, MA.