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This is a small program encapsulating a liblinear implementation for easy command line use to generate baseline results in text classification.

How to use?

Compile

Please have Maven installed on your computer. Then:

mvn compile assembly:single

This will download the relevant libraries and package a jar file. This can be executed as follows.

Train a model

This will train a model on train.csv and test it on test.csv. In addition, it will save a model file in twitter.em. The --test command can be omitted as can the --model.

./bin/run.sh --train data/train.csv --test data/test.csv --model model/twitter.em

Test a model

Using the model trained in the previous step, you can test this on different files. For instance, try

./bin/run.sh --test data/tales.csv --model model/twitter.em

Apply a model to standard in or interactively

./bin/run.sh --model model/twitter.em

If you have questions, please contact me at klinger@ims.uni-stuttgart.de.