Text Classification and Labelling of Document Clusters with Self-Organising Maps
نویسندگان
چکیده
The freely available law on the Internet could be one of the best application areas of text classification and labelling. This paper explores the high potential of the self-organising map for information reconnaissance by classifying and describing unknown legal text collections. The maps can be seen as topic-oriented libraries that are automatically created without intellectual input. The clustered topics units of the self-organising map are labelled with the most appropriate keywords. Extensive tests have shown the potential of this approach.
منابع مشابه
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