Author Clustering And Topic Estimation For Short Texts

Created: 2022-04-01 15:52
#paper

Main idea

The goal is to cluster authors and, at the same time, estimate the topics in short texts.
By expanding LDA, the algorithm models strong dependence among the words in the same document, with user-level topic distributions.

References

1. Paper

Code

1. https://github.com/g-tierney/stLDA-C_public