Measurement Evaluation of Keyword Extraction Based on Topic Coverage

Abstract

This paper proposes a method to measure the performance of keyword extraction based on topic coverage. The answer set of a keyword is required to evaluate keyword extraction by methods such as TF-IDF. However, creating an answer set for a large document is expensive. Thus, this paper proposes a new measurement called topic coverage on the basis of the assumption that the keywords extracted by a superior method can express the topic information efficiently. The experiment using the proceedings of a conference shows the feasibility of our proposed method. © Springer International Publishing Switzerland 2014.