Topic Modeling is a form of text mining that looks for patterns of words that tend to occur together in documents, then automatically categorizes those words into topics. Older text-mining techniques require the user to come up with an appropriate set of topic categories and manually find hundreds to thousands of example documents for each category. This human-intensive process is called supervised learning. In contrast, topic modeling, a type of unsupervised learning, doesn't need suggestions for an appropriate set of topic categories or human-found example documents.

External LinksEdit

Community content is available under CC-BY-SA unless otherwise noted.