Semantic networks were developed to help machine translation or artificial intelligence. They centre words with similar meaning close together. This approach is parallel to clustering in machine learning, where similar values create clusters. However, those clusters do not have to be the same ones as in semantic networks. In our project, we aim to compare those clusters.