ble. An
alternative solution is to consider an unsupervised approach. In this article, we describe
YAKE!, a light-weight unsupervised automatic keyword extraction method which rests on
statistical text features extracted from single documents to select the most relevant keywords
of a text. Our system does not need to be trained on a particular set of documents, nor does
it depend on dictionaries, external corpora, text size, language, or domain. To demonstrate
the merits and significance of YAKE!, we compar