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Reproduction of Text Categorization with SVMs

Paper: Text Categorization with Support Vector Machines: Learning with Many Relevant Features
Source: https://dl.acm.org/citation.cfm?id=649721

The paper suggests the suitability of Support Vector Machines for text classification purposes. In this jupyter notebook I tried to reproduce the results obtained in the paper. Here is a small sample from the notebook:

F1-Scores
F1-Scores from reproduction

Datasets:

Unzip the datasets into a directory called ./datasets

Note: This notebook needs a Python 2 kernel because of the svmlight package and if you don't want to do the training yourself the results are stored in ./results.tar.gz

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Reproduction of Text Classification with SVMs paper

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