On the Equivalence of Inductive Content Analysis and Topic Modeling

Author:

Bakharia Aneesha

Publisher

Springer International Publishing

Reference7 articles.

1. Bakharia, A., Bruza, P., Watters, J., Narayan, B., Sitbon, L.: Interactive topic modeling for aiding qualitative content analysis. In: Proceedings of the 2016 ACM on Conference on Human Information Interaction and Retrieval, pp. 213–222. ACM (2016)

2. Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent dirichlet allocation. J. Mach. Learn. Res. 3, 993–1022 (2003)

3. Chang, J., Gerrish, S., Wang, C., Boyd-Graber, J.L., Blei, D.M.: Reading tea leaves: how humans interpret topic models. In: Advances in Neural Information Processing Systems, pp. 288–296 (2009)

4. Hsieh, H.F., Shannon, S.E.: Three approaches to qualitative content analysis. Qual. Health Res. 15(9), 1277–1288 (2005)

5. Lee, D.D., Seung, H.S.: Algorithms for non-negative matrix factorization. In: Advances in Neural Information Processing Systems, pp. 556–562 (2001)

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