Short Text Clustering
14 papers with code • 8 benchmarks • 2 datasets
This task has no description! Would you like to contribute one?
Benchmarks
These leaderboards are used to track progress in Short Text Clustering
| Trend | Dataset | Best Model | Paper | Code | Compare |
|---|---|---|---|---|---|
|
|||||
|
|||||
|
|||||
|
|||||
|
|||||
|
|||||
|
|||||
|
AG News
MNAD
Latest papers with no code
Semi-supervised Clustering for Short Text via Deep Representation Learning
In this work, we propose a semi-supervised method for short text clustering, where we represent texts as distributed vectors with neural networks, and use a small amount of labeled data to specify our intention for clustering.
A Dirichlet Multinomial Mixture Model-based Approach for Short Text Clustering
Short text clustering has become an increasingly important task with the popularity of social media like Twitter, Google+, and Facebook.
