I am learning about Probabilistic Topic Models by reading this article by D. Blei, watching this video, and doing this exercise A Gentle Introduction to Topic Modeling in R.After the topics in my corpus are defined (by the algorithm), will the LDA package in R allow me to find the documents for a specific topic that was modeled? Put differently, how can I check which documents contributed to the formation of a certain topic in the final model?Any advice on this topic or how to better formulate my question is appreciated.
Using Topic Models in R
machine learning;r;text mining;topic model