#LDA

Topic Modeling using R

Topic Modeling in R Topic modeling provides an algorithmic solution to managing, organizing and annotating large archival text. The annotations aid you in tasks of information retrieval, classification and corpus exploration Topic models provide a simple way to analyze large volumes of unlabeled text. A “topic” consists of a cluster of words that frequently occur together. Using contextual clues, topic models can connect words with similar meanings and distinguish between uses of words with multiple meanings. ...