Publication details
On key words and key patterns in Shakespeare's plays
| Authors | |
|---|---|
| Year of publication | 2009 |
| Type | Article in Proceedings |
| Conference | Proceedings of the 8th annual conference Znalosti 2009 |
| MU Faculty or unit | |
| Citation | |
| Field | Informatics |
| Keywords | keywords; text mining ; Shakespeare ; |
| Description | This paper describes experiments in identifications of keyness in texts using relational learning. Using this method we can extract first-order logic formulas satisfied in a set of positive examples and not satisfied in a set of negative examples. We tested this method on a collection of Shakespeare's plays to identify keyness (or aboutness) of particular plays. We focused to Hamlet, Prince of Denmark and followed the work by Mike Scott. The aim of this paper is to describe an alternative way of automatic identifying keyness and to show that this method can find more comprehensive keyness representation. |