Topic Modeling Looks For Patterns Of Words That Tend To Occur Together In Documents

Wow and you have to wonder, how is google going to apply this?

press release @ the bren school of information and computer sciences

Topic modeling 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. This makes retrieving information easier and quicker.