How does this work?
We used spaCy to tag and parse every comment posted to Reddit in 2015, and fed the results to Gensim's word2vec implementation. Using the search above, you can get a lot of
interesting insights into the Reddit hivemind. See what spaCy and
Gensim think Reddit thinks about almost anything.
Read the blog post
sense2vec library is a simple Python implementation for loading and querying
sense2vec models. While it's best used in combination with spaCy, it can also be run as a standalone module.
s2v = sense2vec.load('reddit_vectors-1.1.0')
freq, vector = s2v[u'natural_language_processing|NOUN']
most_similar = s2v.most_similar(vector, n=10)