HIGHLIGHTS
- What: The authors propose an unsupervised corpus-independent method to extract keywords from single text. The authors focus on keyword extraction from literary works without supervision and corpus. To find out the limitations of the method , and to gain an understanding of what a keyword means conceptually, the authors aimed to relate keywords to the higher-order structures of texts, that is, the fact that literary texts are generally divided into chapters. The authors compare τ with the ordinary frequency f of word w: f =Nw /N, where Nw is the number of times w appeared in the . . .
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