GitHub - DigitalPebble/TextClassification: A Text Classification API in Java originally developed by DigitalPebble Ltd. The API is independent from the ML implementations used and can be used as a front end to various ML algorithms. libSVM and liblinear are currently embedded.

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A Text Classification API in Java originally developed by DigitalPebble Ltd. The API is independent from the ML implementations used and can be used as a front end to various ML algorithms. libSVM and liblinear are currently embedded.

Apache-2.0 license

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build.properties		build.properties
build.xml		build.xml
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libLinear.copyright.txt		libLinear.copyright.txt
libSVM.copyright.txt		libSVM.copyright.txt
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A Text Classification API in Java originally developed by DigitalPebble Ltd. The API is independent from the ML implementations used and can be used as a front end to various ML algorithms. libSVM and liblinear [https://github.com/bwaldvogel/liblinear-java] are currently embedded.

Standard weighting schemes are provided (occurrences,frequency,tf-idf) for building the vectors. The API aims at facilitating the use of ML for text applications and offers a convenient field-based representation of documents (e.g. title, content, keywords, etc...) with the option to specify a different weighting scheme per field.

A separate project containing examples of use for the API is available on https://github.com/DigitalPebble/textclassification-examples.

It is also used in the GATE TextClassification plugin on https://github.com/DigitalPebble/TextClassificationPlugin.