Jul 27, 2011 · The contributions of this paper are threefold: (1) An analysis of the ways in which topics can be flawed; (2) an au- tomated evaluation metric ...

A novel statistical topic model based on this metric that significantly improves topic quality in a large-scale document collection.

The contributions of this paper are threefold: (1) An analysis of the ways in which topics can be flawed; (2) an au- tomated evaluation metric for identifying ...

A novel statistical topic model based on this metric that significantly improves topic quality in a large-scale document collection.

A novel statistical topic model based on an automated evaluation metric based on this metric that significantly improves topic quality in a large-scale ...

The value of topic modeling is in its ability to discover inter- pretable, coherent themes from unstructured document sets, yet it is not unusual to find ...

In this paper, we first present an expert-driven topic annotation study, undertaken in order to obtain an annotated set of baseline topics and their ...

We first introduce the preliminaries of the topic modeling techniques and review its extensions and variations, such as topic modeling over various domains, ...

The core idea here is that in models which are semantically coherent the words which are most probable under a topic should co-occur within the same document.

Mimno, David et al. 2011. “Optimizing Semantic Coherence in Topic Models.” In Proceedings of the 2011 Conference on Empirical Methods in Natural Language ...