Abstract
In the present paper, the Self-Organising Map (SOM) is applied to the problem of categorising a corpus of Modem Greek texts according to the style of their authors. A number of variants of the SOM model are used in a series of experiments, in order to compare and contrast their behaviour in the specific task. The experimental results indicate that the SOM possesses the ability to analyse such data, successfully uncovering the differences among authors.
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Tambouratzis, G., Hairetakis, N., Markantonatou, S., Carayannis, G. (2001). Evaluating SOM-based models in Text Classification Tasks for the Greek Language. In: Advances in Self-Organising Maps. Springer, London. https://doi.org/10.1007/978-1-4471-0715-6_35
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DOI: https://doi.org/10.1007/978-1-4471-0715-6_35
Publisher Name: Springer, London
Print ISBN: 978-1-85233-511-3
Online ISBN: 978-1-4471-0715-6
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