Understanding the Thematic Structure of the Qur'an: An Exploratory Multivariate Approach

@inproceedings{Thabet2005UnderstandingTT,
  title={Understanding the Thematic Structure of the Qur'an: An Exploratory Multivariate Approach},
  author={Naglaa Thabet},
  booktitle={ACL},
  year={2005}
}
In this paper, we develop a methodology for discovering the thematic structure of the Qur’an based on a fundamental idea in data mining and related disciplines: that, with respect to some collection of texts, the lexical frequency profiles of the individual texts are a good indicator of their conceptual content, and thus provide a reliable criterion for their classification relative to one another. This idea is applied to the discovery of thematic interrelationships among the suras (chapters… CONTINUE READING

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References

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Showing 1-10 of 14 references

Applied Multivariate Data Analysis, 2 ed

  • G. Dunn, B. Everitt
  • 2001
2 Excerpts

Cluster Analysis, 4 ed

  • B. Everitt
  • 2001
1 Excerpt

Cluster Analysis

  • P. Gore
  • 2000
1 Excerpt

Handbook of applied multivariate statistics and mathematical modeling (pp. 297-321)

  • P. Gore
  • Cluster Analysis
  • 2000
1 Excerpt

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