A bibliography of materials and resources related to methods of assessing and interpreting topic models.

• Chuang, Jason, Sonal Gupta, Christopher D. Manning, and Jeffrey Heer. "Topic Model Diagnostics: Assessing Domain Relevance via Topical Alignment." International Conference on Machine Learning (ICML), 2013.
• Chuang, Jason, Margaret E. Roberts, Brandon M. Stewart, Rebecca Weiss, Dustin Tingley, Justin Grimmer, and Jeffrey Heer. "TopicCheck: Interactive Alignment for Assessing Topic Model Stability." NAACL-HLT, 2015.
• Heuwing, Ben, Thomas Mandl, and Christa Womser-Hacker. "Methods for User User-Centered Design and Evaluation of Text Analysis Tools in a Digital History Project." ASIST, October 14-18, 2016. https://www.asist.org/files/meetings/am16/proceedings/submissions/papers/53paper.pdf
• Sievert, Carson, and Kenneth E. Shirley. "LDAvis: A Method for Visualizing and Interpreting Topics." Proceedings of the Workshop on Interactive Language Learning, Visualization, and Interfaces, June 27, 2014, pp. 63-70. Baltimore, Maryland: Association for Computational Linguistics. Accessed July 22, 2018. https://nlp.stanford.edu/events/illvi2014/papers/sievert-illvi2014.pdf