Kernel-based machine learning for fast text mining in R

Alexandros Karatzoglou and Ingo Feinerer

Computational Statistics & Data Analysis, 2010, vol. 54, issue 2, 290-297

Abstract: Recent advances in the field of kernel-based machine learning methods allow fast processing of text using string kernels utilizing suffix arrays. kernlab provides both kernel methods' infrastructure and a large collection of already implemented algorithms and includes an implementation of suffix-array-based string kernels. Along with the use of the text mining infrastructure provided by tm these packages provide R with functionality in processing, visualizing and grouping large collections of text data using kernel methods. The emphasis is on the performance of various types of string kernels at these tasks.

Date: 2010
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