Enhancing Text Clustering Using Concept-based Mining Model

@article{Shehata2006EnhancingTC,
  title={Enhancing Text Clustering Using Concept-based Mining Model},
  author={Shady Shehata and Fakhri Karray and Mohamed S. Kamel},
  journal={Sixth International Conference on Data Mining (ICDM'06)},
  year={2006},
  pages={1043-1048}
}
Most of text mining techniques are based on word and/or phrase analysis of the text. The statistical analysis of a term (word or phrase) frequency captures the importance of the term within a document. However, to achieve a more accurate analysis, the underlying mining technique should indicate terms that capture the semantics of the text from which the importance of a term in a sentence and in the document can be derived. A new concept-based mining model that relies on the analysis of both the… CONTINUE READING
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