Welcome to Contextualized Topic Models’s documentation!

Contents:

• Contextualized Topic Models
  • Topic Modeling with Contextualized Embeddings
  • Tutorials
  • Overview
  • References
  • Development Team
  • Software Details
  • Credits
  • Note
• CombinedTM: Coherent Topic Models
  • Usage
  • Creating the Test Set
• ZeroShotTM: Topic Modeling with Missing Words and Cross-Lingual Capabilities
  • Usage
  • Creating the Test Set
  • Cross-Lingual Topic Modeling
• Kitty: Human-in-the-loop Classification with Contextualized Topic Models
  • Usage
  • Cross-Lingual Support
  • What Makes Kitty Different Other Topic Models?
• Extensions: SuperCTM and β-CTM
  • SuperCTM
  • β-CTM
• Evaluation
  • Metrics Covered
  • Example
• Mono and Multi-Lingual Embeddings
  • Multilingual
  • English
  • Language-Specific
• Published Papers on CTM
• Visualization
  • PyLdaVis Visualization
  • Showing The Topic Word Cloud
• Installation
  • Stable release
  • From sources
• Frequently Asked Questions
  • I am getting very poor results. What can I do?
  • Am I forced to use the SBERT Embeddings?
  • Is the BoW needed even for the ZeroShotTM?
  • ZeroShotTM or CombinedTM? Which one should I use?
  • How do I choose the correct number of topics?
• Credits
  • Development Lead
  • Contributors
• History
  • 2.2.0 (2021-09-??)
  • 2.1.2 (2021-09-03)
  • 2.1.0 (2021-07-16)
  • 2.0.0 (2021-xx-xx)
  • 1.8.2 (2021-02-08)
  • 1.8.0 (2021-01-11)
  • 1.7.1 (2020-12-17)
  • 1.7.0 (2020-12-10)
  • 1.6.0 (2020-11-03)
  • 1.5.3 (2020-11-03)
  • 1.5.2 (2020-11-03)
  • 1.5.0 (2020-09-14)
  • 1.4.3 (2020-09-03)
  • 1.4.2 (2020-08-04)
  • 1.4.1 (2020-08-04)
  • 1.4.0 (2020-08-01)
  • 1.0.0 (2020-04-05)
  • 0.1.0 (2020-04-04)