Topic modeling is an unsupervised learning task that discovers the hidden topics in a collection of documents. In turn, discovered can be used for summarizing, organizing, and understanding documents collection. Most existing techniques topic are derivatives Latent Dirichlet Allocation which uses bag-of-word assumption However, bag-of-words models completely dismiss relationships between words....
