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Get Expert Help From The Gensim Authors

Consulting in Machine Learning & NLP

• Commercial document similarity engine: ScaleText.ai

Corporate trainings in Python Data Science and Deep Learning

Support

Support

Open source support

The main communication channel is the Gensim mailing list.

Additional channels are twitter @gensim_py and Gitter piskvorky/gensim.

This is the preferred way to ask for help, report problems and share insights with the community. Newbie questions are perfectly fine, just make sure you’ve read the tutorials.

I discourage sending private emails, because the mailing list serves as a knowledge base for all Gensim users, cutting maintenance efforts needed for support. If you feel your problem is too special, data too sensitive, technical scope too demanding, see the “business” section below.

When posting on the mailing list, try to include all relevant information, such as what it is you are trying to achieve, what went wrong, relevant Gensim logs, package versions etc.

FAQ and some useful snippets of code are maintained on GitHub: https://github.com/piskvorky/gensim/wiki/Recipes-&-FAQ.

You can also try asking on StackOverflow, using the gensim tag.

Business support

We run a consulting R&D company focused on data mining and unstructured text processing, https://rare-technologies.com.

If you need commercial support, design validation, technical training or custom system development, get in touch for a quote.

Developer support

Developers who tweak Gensim internals are encouraged to report issues at the GitHub issue tracker.

Note that Github is not a medium for discussions or asking open-ended questions; please use the mailing list for that.