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@inproceedings{875487, author = {Popelínský, Lubomír and Materna, Jiří}, address = {Brno}, booktitle = {Proceedings of the 8th annual conference Znalosti 2009}, keywords = {keywords; text mining ; Shakespeare ;}, language = {eng}, location = {Brno}, isbn = {978-80-227-3015-0}, publisher = {FIT VUT Brno}, title = {On key words and key patterns in Shakespeare's plays}, year = {2009} }
TY - JOUR ID - 875487 AU - Popelínský, Lubomír - Materna, Jiří PY - 2009 TI - On key words and key patterns in Shakespeare's plays PB - FIT VUT Brno CY - Brno SN - 9788022730150 KW - keywords KW - text mining KW - Shakespeare ; N2 - 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. ER -
POPELÍNSKÝ, Lubomír a Jiří MATERNA. On key words and key patterns in Shakespeare's plays. In \textit{Proceedings of the 8th annual conference Znalosti 2009}. Brno: FIT VUT Brno, 2009, 10 s. ISBN~978-80-227-3015-0.
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