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ThinkMind // ICIW 2013, The Eighth International Conference on Internet and Web Applications and Services // View article iciw_2013_7_50_20221
Creativity Detection in Texts
 Authors: Costin-Gabriel Chiru Keywords: Creativity; Satire; Natural Language Processing; Metrics for Creativity Detection Abstract: In this paper, we present a model that was intended to discriminate creative from non-creative news articles. In order to build the classifier, we have combined nine different measures using a stepwise logistic regression model. The obtained model was tested in two experiments: the first one tried to discriminate between news articles about the US 2012 Elections from different newspapers versus articles taken from The Onion (a website providing satiric news) on the same subject, while the second one evaluated the capacity of the model to generalize over different topics and text genres. The experiments showed that the system achieves 80% accuracy, but the lack of true positives from the second experiment raised the question of whether we really identified creativity or in fact we detected satire (as the assumption for the training corpus was that the satiric news from The Onion were also creative). Pages: 174 to 180 Copyright: Copyright (c) IARIA, 2013 Publication date: June 23, 2013 Published in: conference ISSN: 2308-3972 ISBN: 978-1-61208-280-6 Location: Rome, Italy Dates: from June 23, 2013 to June 28, 2013
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