dctm

Code for the paper "Stochastic Variational Inference for Dynamic Correlated Topic Models"

Getting Started

To get started in using our code, simply follow this steps:

• Clone the repo locally with: git clone https://github.com/spotify-research/dctm.git
• Move to the cloned folder with: cd dctm
• Install the dependencies: pip install -r requirements.txt
• Install the package: pip install .

or simply copy-paste the following commands on a terminal

git clone https://github.com/spotify-research/dctm.git
cd dctm
pip install -r requirements.txt
pip install .

To try out our notebooks, you also need to install Jupyter.

 Examples

An example on how to use the code is documented in the notebooks here.

Support

Create a new issue on GitHub.

Contributing

We feel that a welcoming community is important and we ask that you follow Spotify's Open Source Code of Conduct in all interactions with the community.

Authors

• Federico Tomasi [email protected]
• Zhenwen Dai [email protected]
• Praveen Ravichandran [email protected]

A full list of contributors can be found on GitHub.

Follow @SpotifyEng on Twitter for updates.

License

Copyright 2020 Spotify, Inc.

Licensed under the Apache License, Version 2.0: https://www.apache.org/licenses/LICENSE-2.0

Security Issues?

Please report sensitive security issues via Spotify's bug-bounty program (https://hackerone.com/spotify) rather than GitHub.