semreview

Text classification taking advantage of the Semantic Web. This is named Semreview because it was initially conceived to support Systematic Literature Reviews, using Semantic enrichment to improve text classification.

How to build

mvn install

How to use it

To be written

Internal architecture

The system is mainly a pipeline:

1) DataSetProvider: the first stage provide the documents

2) PaperEnricher: the second stage enrich the documents

3) Classifier: the third stage compare enricheded documents to the model

Authors

The project was initially developed by:

• Federico Tomassetti
• Giuseppe Rizzo
• Antonio Vetro'
• Luca Ardito
• Marco Torchiano.

History

The project was initially available on Sourceforge and it has been moved to GitHub on late 2014.