LibLinear: This package is required for running the examples.We recommend installing other useful packages for classification, regression and evaluation: The package must either be installed or JVM must be started in AffectiveTweets directory. The software can be tested using Junit test cases. Java -cp $WEKA_PATH/weka.jar -install-package dist/AffectiveTweets.zip This is very useful if you want to modify the code or contribute with a new feature. You can also build the package from the Github version using the project’s build-package.xml file with the ant build tool. In case of having problems with the Weka packages repository, install the package as follows: java -cp $WEKA_PATH/weka.jar -install-package Make sure you have installed version 1.0.2 to run the examples. Install AffectiveTweets1.0.2 using the WekaPackageManager: java -cp $WEKA_PATH/weka.jar -install-package AffectiveTweets You can also build the developer branch from the SVN repository: # checkout weka Download the latest stable version or the developer branch of Weka.
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