HIGHLIGHTS
- who: Aki-Juhani Kyru00f6lu00e4inen from the University of Canterbury, New Zealand United States have published the research: Predictive , in the Journal: (JOURNAL)
- what: The analysis presented in Egbert and Biber demonstrated that TDK could extract keywords of a high quality. To evaluate the quality of the keywords, the authors develop rigorous, formal metrics to evaluate them, based on the well-established distinction between usefulness and relevance of variables applied in machine_learning (see Guyon and Elisseeff, 2003) while maintaining a dialogue with the evaluations discussed by Egbert and Biber . The authors propose, because of its predictive . . .
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