Is shallow semantic analysis really that shallow? A study on improving text classification performance
Przemysław Maciołek, Grzegorz Dobrowolski · Proceedings of the International Multiconference on Computer Science and Information Technology · 2010
The paper presents a graph-based, shallow semantic analysis-driven approach for modeling document contents. This allows to extract additional information about meaning of text and effects in improved document classification. Its performance is compared against the “legacy” bag-of-words and Schenker et al. approaches with k - NN classification based on Polish and English news articles.