Evaluating Tools for Automatic Concept Extraction: a Case Study from the Musicology Domain

extraction algorithms have various applications in Digital Economy research with the rise of online sources. This paper reports on an evaluation of five term extraction algorithms for automatic concept extraction in the musicology domain, which is carried out in the context of the RCUK funded SerenA Project. Our focus here is to identify the algorithms that are most suitable for the task of concept extraction. In our evaluation, the C-value algorithm produced the best result, while others achieved encouraging performances revealing interesting features of each algorithm that will be helpful for developing better algorithms.