Word embedding models can be used to satisfy recurrent tasks in NLP such as lexical and semantic generalisation in machine learning tasks, finding similar or related words and computing semantic relatedness of terms.
jOBIMTEXT is a semantic similarity tool that implements its own algorithm named joBim (Biemann et al., 2013 Table 1: List of functionalities and framework coverage.