Hierarchical Latent Semantic Mapping for Automated Topic Generation

Understand

Much of information sits in an unprecedented amount of text data.

• Managing allocation of these large scale text data is an important problem for many areas.
• Topic modeling performs well in this problem.
• The traditional generative models (PLSA,LDA) are the state-of-the-art approaches in topic modeling and most recent research on topic generation has been focusing on improving or extending these models.