Using shallow semantic analysis and graph modelling for document classification

Przemysław Maciołek and Grzegorz Dobrowolski

International Journal of Data Mining, Modelling and Management, 2013, vol. 5, issue 2, 123-137

Abstract: Using graph-based, shallow semantic analysis-driven approach for modelling text contents allow to extract additional information about meaning of text. This paper discusses using two novel algorithms that are based on this idea. They are compared against 'legacy' bag-of-words and Schenker et al. approaches in NN document classification task.

Keywords: document classification; graph modelling; shallow semantic analysis; semantic networks; text content; text meaning; nearest neighbour. (search for similar items in EconPapers)
Date: 2013
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