Takeaway By incorporating in the generative process a word-level author choosing and topic choosing according to an author-topic distribution, the Aut
{"Image DocumentName": "Takeaway", "Image ImageDescription": "By incorporating in the generative process a word-level author choosing and topic choosing according to an author-topic distribution, the Author-Topic Model manages to learn the relationship between authors and topics, and topic and words. Gibbs sampling is a solution for the difficulty of sampling from joint multivariate distributions and is used for inferring parameter values for generative models. The Author-Topic Model can also be used to predict authors of an unseen documents. The learned relationship between authors and topics solved the problem raised in the motivation part.", "Image XResolution": "37", "Image YResolution": "37", "Image ResolutionUnit": "Pixels/Centimeter", "Image Software": "SlidePlayer", "Image YCbCrPositioning": "Centered"}