Generative Topic Embedding: a Continuous Representation of Documents (Extended Version with Proofs)

@article{Li2016GenerativeTE,
  title={Generative Topic Embedding: a Continuous Representation of Documents (Extended Version with Proofs)},
  author={Shaohua Li and Tat-Seng Chua and Jun Zhu and Chunyan Miao},
  journal={CoRR},
  year={2016},
  volume={abs/1606.02979}
}
Word embedding maps words into a lowdimensional continuous embedding space by exploiting the local word collocation patterns in a small context window. On the other hand, topic modeling maps documents onto a low-dimensional topic space, by utilizing the global word collocation patterns in the same document. These two types of patterns are complementary. In… CONTINUE READING