Analysing semantic flow in academic writing

Frontiers in Artificial Intelligence and Applications

Volumn 200, Issue 1, 2009, Pages 173-180

  O'Rourke, Stephen T ^a   Calvo, Rafael A ^a  

^a UNIVERSITY OF SYDNEY   (Australia)

Author keywords

Multidimensional scaling; Non negative matrix factorisation; Visualisation; Writing support

Indexed keywords

DATA MINING; SEMANTICS; VISUALIZATION;

2 - DIMENSIONAL; ACADEMIC WRITINGS; DIMENSIONAL REPRESENTATION; ESSAY ASSESSMENTS; MULTI-DIMENSIONAL SCALING; NONNEGATIVE MATRIX FACTORIZATION; NOVEL VISUALIZATIONS; TEXT MINING TECHNIQUES; VISUALIZATION METHOD; WRITING SUPPORT;

NON-NEGATIVE MATRIX FACTORIZATION;

EID: 73149106811     PISSN: 09226389     EISSN: 18798314     Source Type: Book Series    
DOI: 10.3233/978-1-60750-028-5-173     Document Type: Conference Paper

References (16)

1. L. M. Rudner, "Reducing Errors Due to the Use of Judges," Practical Assessment, Research & Evaluation, vol.3, 1992.
2. C. North, "Toward measuring visualization insight," IEEE Computer Graphics and Applications, vol.26, pp. 6-9, May-Jun 2006.
3. U. M. Fayyad, et al., Information visualization in data mining and knowledge discovery. San Francisco, Calif. ; London: Morgan Kaufmann, 2002.
4. N. H. Macdonald, et al., "The Writer's workbench: Computer Aids for Text Analysis," IEEE Transactions on Communications, vol.30, pp. 105-110, 1982.
5. A. Britt, et al., "Using Intelligent Feedback to improve Sourcing and Integration in Students' Essays," International Journal of Artificial Intelligence in Education, vol.14, pp. 359-374, 2004.
6. J. Villalon, et al., "Glosser: Enhanced feedback for student writing," in Proceedings of the International Conference on Advanced Learning Technologies, 2008.
7. P. W. Foltz, et al., "The measurement of textual coherence with latent semantic analysis," Discourse Processes, vol.25, pp. 285-307, 1998.
8. S. Deerwester, et al., "Indexing by latent semantic analysis," Journal of the American Society for Information Science, vol.41, pp. 391-407, 1990.
9. D. D. Lee and H. S. Seung, "Learning the parts of objects by non-negative matrix factorization," Nature, vol.401, pp. 788-791, Oct 1999.
10. Ricardo and Berthier, Modern Information Retrieval: ACM Press / Addison-Wesley, 1999.
11. C. D. Meyer, Matrix analysis and applied linear algebra. Philadelphia: Society for Industrial and Applied Mathematics, 2000.
12. M. W. Berry, et al., "Algorithms and applications for approximate nonnegative matrix factorization," Computational Statistics & Data Analysis, vol.52, pp. 155-173, Sep 2007.
13. D. D. Lee and H. S. Seung, "Algorithms for Non-negative Matrix Factorization," in Proceedings of the 2000 Conference on Advances in Neural Information Processing Systems, 2001, pp. 556-562.
14. I. Borg and P. J. F. Groenen, Modern multidimensional scaling: theory and applications, 2nd ed. New York ; London: Springer, 2005.
15. J. Deleeuw, "Convergence of the majorization method for multidimensional scaling," Journal of Classification, vol.5, pp. 163-180, 1988.
16. J. Davis and R. Liss, Effective academic writing. 3, The essay. New York: Oxford University Press, 2006.