Bibliography – Topic Model (Longitudinal over Time)

Selected DH research and resources bearing on, or utilized by, the WE1S project.
(all) Distant Reading | Cultural Analytics | | Sociocultural Approaches | Topic Modeling in DH | Non-consumptive Use

Wang, Chong, David Blei, and David Heckerman. “Continuous Time Dynamic Topic Models.” ArXiv:1206.3298 [Cs, Stat], 2012. Cite
Saria, Suchi, Daphne Koller, and Anna Penn. “Discovering Shared and Individual Latent Structure in Multiple Time Series.” ArXiv:1008.2028 [Cs, Stat], 2010. Cite
Hall, David, Daniel Jurafsky, and Christopher D. Manning. “Studying the History of Ideas Using Topic Models.” In Proceedings of the Conference on Empirical Methods in Natural Language Processing, 363–71. Association for Computational Linguistics, 2008. jurafsky/hallemnlp08.pdf. Cite
Blei, David M., and John D. Lafferty. “Dynamic Topic Models.” In Proceedings of the 23rd International Conference on Machine Learning - ICML ’06, 113–20. Pittsburgh, Pennsylvania: ACM Press, 2006. Cite
McCallum, Andrew, and Xuerui Wang. Topics over Time: A Non-Markov Continuous-Time Model of Topical Trends, 2006. /paper/Topics-over-time%3A-a-non-Markov-continuous-time-of-Wang-McCallum/7f8abf25ca24b48450b4e535f41e2b8a87df73f5. Cite