This is a big feature, and is listed here as a placeholder for the conversation of when or if to add it.
Gensim is a free Python framework designed to automatically extract
semantic topics from documents, as efficiently (computer-wise) and
painlessly (human-wise) as possible.
...
Once these statistical patterns are found, any plain text documents can
be succinctly expressed in the new, semantic representation, and
queried for topical similarity against other documents.
There is also a pre-packaged server implementation of the library, that looks like it would be ideal as a dedicated processing server for document's similarity.
It uses an extreme free software license, the AGPL
This means you may use simserver freely in your application (even
commercial application!), but you must then open-source your
application as well, under an AGPL-compatible license.
But luckily for us, our license is totally compatible with theirs.
This is a big feature, and is listed here as a placeholder for the conversation of when or if to add it.
http://radimrehurek.com/gensim/intro.html
There is also a pre-packaged server implementation of the library, that looks like it would be ideal as a dedicated processing server for document's similarity.
https://github.com/piskvorky/gensim-simserver
It uses an extreme free software license, the AGPL
But luckily for us, our license is totally compatible with theirs.