OPENNLP-1808: Add SVM-based document categorization via zlibsvm

[rzo1]

Change

• Introduces opennlp-ml-libsvm, a new ML module providing SVM-based text-classification through the zlibsvm library.
• the module implements the DocumentCategorizer interface

Notes

• Configurable term weighting (binary, TF, TF-IDF, log-normalized TF)
• Feature selection (information gain, chi-square, TF, DF)
• Feature scaling with configurable range
• Full SVM parameter control (kernel, cost, gamma, etc.)
• Model serialization/deserialization
• CLI tools (DoccatSVM, DoccatSVMTrainer, DoccatSVMEvaluator)
• 86 unit tests across 8 test classes
• Documentation in doccat.xml, project-structure.xml, and README

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[mawiesne]

Coverage

[mawiesne]

Thx @rzo1 for the code drop. I've read the PR's changes and checked the coverage of the tests, see previous screenshot.

[mawiesne]

Note: In addition, I've verified the PDF dev manual has sufficient formatting quality and looks fine.