|
[1] W. Albert and T. Tullis. Measuring the user experience: collecting, analyzing, and presenting usability metrics. Newnes, 2013. [2] A. Bangor, P. Kortum, and J. Miller. Determining what individual sus scores mean: Adding an adjective rating scale. Journal of usability studies, 4(3):114–123, 2009. [3] D. M. Blei, A. Y. Ng, and M. I. Jordan. Latent dirichlet allocation. the Journal of machine Learning research, 3:993–1022, 2003. [4] M. Bostock. D3. js. Data Driven Documents, 492, 2012. [5] A. J.-B. Chaney and D. M. Blei. Visualizing topic models. 2012. [6] J. Chuang, C. D. Manning, and J. Heer. Termite: Visualization techniques for assessing textual topic models. In Proceedings of the International Working Conference on Advanced Visual Interfaces, pages 74–77. ACM, 2012. [7] D. Cochran. Twitter Bootstrap Web Development How-To. Packt Publishing Ltd, 2012. [8] S. T. Dumais. Latent semantic analysis. Annual review of information science and technology, 38(1):188–230, 2004. [9] S. Eppinger and K. Ulrich. Product design and development. McGraw-Hill Higher Education, 2015. [10] K. Finstad. The system usability scale and non-native english speakers. Journal of usability studies, 1(4):185–188, 2006. [11] T. Hofmann. Probabilistic latent semantic indexing. In Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval, pages 50–57. ACM, 1999. [12] P. Legris, J. Ingham, and P. Collerette. Why do people use information technology? a critical review of the technology acceptance model. Information & management, 40(3):191–204, 2003. [13] R. Likert. A technique for the measurement of attitudes. Archives of psychology, 1932. [14] J. Murdock and C. Allen. Visualization techniques for topic model checking. In AAAI, pages 4284–4285, 2015. [15] J. Nielsen and T. K. Landauer. A mathematical model of the finding of usability problems. In Proceedings of the INTERACT’93 and CHI’93 conference on Human factors in computing systems, pages 206–213. ACM, 1993. [16] D. Ramage, D. Hall, R. Nallapati, and C. D. Manning. Labeled lda: A supervised topic model for credit attribution in multi-labeled corpora. In Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1-Volume 1, pages 248–256. Association for Computational Linguistics, 2009. [17] M. Rosen-Zvi, T. Griffiths, M. Steyvers, and P. Smyth. The author-topic model for authors and documents. In Proceedings of the 20th conference on Uncertainty in artificial intelligence, pages 487–494. AUAI Press, 2004. [18] I. J. Schoenberg. Cardinal spline interpolation. SIAM, 1973. [19] B. H. Sheppard, J. Hartwick, and P. R. Warshaw. The theory of reasoned action: A meta-analysis of past research with recommendations for modifications and future research. Journal of consumer research, 15(3):325–343, 1988. [20] C. Sievert and K. E. Shirley. Ldavis: A method for visualizing and interpreting topics. 2014. [21] Y. W. Teh, M. I. Jordan, M. J. Beal, and D. M. Blei. Sharing clusters among related groups: Hierarchical dirichlet processes. In NIPS, pages 1385–1392, 2004. [22] Y.W. Teh, M. I. Jordan, M. J. Beal, and D. M. Blei. Hierarchical dirichlet processes. Journal of the american statistical association, 2012. [23] S. Wold, K. Esbensen, and P. Geladi. Principal component analysis. Chemometrics and intelligent laboratory systems, 2(1-3):37–52, 1987. [24] N. Yau. Data points: Visualization that means something. JohnWiley & Sons, 2013. [25] 賈西平, 彭宏, 鄭啟倫, 石時需, and 江焯林. 基于主題的文檔檢索模型. 華南理工大學學報(自然科學版), 36(9):37–42, 2008.
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