LDA, on the other hand is a significant extension of LSI. Words are grouped into topics. They can exist in more than one topic, in fact most do. LDA tackles ambiguity by comparing a document to two topics and determining which topic is closer to the document, across all combinations of topics which seem broadly relevant. In doing so, LDA helps an information retrieval system (such as a search engine) to determine which documents are most relevant to which topics.