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We recently open sourced a library that makes it easy to quickly get started with pre-trained word vector models like word2vec from Google, Facebook, and Stanfo
by patelajay285 9y ago
We recently open sourced a library that makes it easy to quickly get started with pre-trained word vector models like word2vec from Google, Facebook, and Stanford. It adds a ton of extra functionality like fast similiarity indexing with Annoy and fairly robust out-of-vocabulary word lookups (handling misspellings) out of the box. If you want to quickly get started with pre-built models, it might be worth checking out along with Gensim:
https://github.com/plasticityai/magnitude/ https://github.com/plasticityai/magnitude/
- aguynamedben 9y agoThis is great, the examples in the README are very interesting.
- RHSman2 9y agoWow. Good job! Some better examples would really finish this off!
- neoncontrails 9y agoAre document vectors supported analogously to word vectors? It's a bit peculiar to me that gensim withholds useful word2vec methods from the Doc2Vec class, like most_similar_from. I'd really enjoy having a common interface to both vector spaces.
- patelajay285 9y agoCurrently, it doesn't support document vectors, but it should be possible to add it and maintain the same interface. We're open to accepting a pull request if your interested in building that feature.
- kamalbanga 9y agoHey, I like the work that you guys are doing and have been working on similar things since last 2 years. Are you guys hiring? My personal email id is banga.kamal@gmail.com.