{"action":"created","issue":{"url":"https://api.github.com/repos/freelawproject/courtlistener/issues/436","repository_url":"https://api.github.com/repos/freelawproject/courtlistener","labels_url":"https://api.github.com/repos/freelawproject/courtlistener/issues/436/labels{/name}","comments_url":"https://api.github.com/repos/freelawproject/courtlistener/issues/436/comments","events_url":"https://api.github.com/repos/freelawproject/courtlistener/issues/436/events","html_url":"https://github.com/freelawproject/courtlistener/issues/436","id":135495497,"number":436,"title":"Run Word2Vec on the corpus and represent opinions in vector space","user":{"login":"ellliottt","id":12103673,"avatar_url":"https://avatars.githubusercontent.com/u/12103673?v=3","gravatar_id":"","url":"https://api.github.com/users/ellliottt","html_url":"https://github.com/ellliottt","followers_url":"https://api.github.com/users/ellliottt/followers","following_url":"https://api.github.com/users/ellliottt/following{/other_user}","gists_url":"https://api.github.com/users/ellliottt/gists{/gist_id}","starred_url":"https://api.github.com/users/ellliottt/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/ellliottt/subscriptions","organizations_url":"https://api.github.com/users/ellliottt/orgs","repos_url":"https://api.github.com/users/ellliottt/repos","events_url":"https://api.github.com/users/ellliottt/events{/privacy}","received_events_url":"https://api.github.com/users/ellliottt/received_events","type":"User","site_admin":false},"labels":[{"url":"https://api.github.com/repos/freelawproject/courtlistener/labels/enhancement","name":"enhancement","color":"84b6eb"}],"state":"open","locked":false,"assignee":{"login":"ellliottt","id":12103673,"avatar_url":"https://avatars.githubusercontent.com/u/12103673?v=3","gravatar_id":"","url":"https://api.github.com/users/ellliottt","html_url":"https://github.com/ellliottt","followers_url":"https://api.github.com/users/ellliottt/followers","following_url":"https://api.github.com/users/ellliottt/following{/other_user}","gists_url":"https://api.github.com/users/ellliottt/gists{/gist_id}","starred_url":"https://api.github.com/users/ellliottt/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/ellliottt/subscriptions","organizations_url":"https://api.github.com/users/ellliottt/orgs","repos_url":"https://api.github.com/users/ellliottt/repos","events_url":"https://api.github.com/users/ellliottt/events{/privacy}","received_events_url":"https://api.github.com/users/ellliottt/received_events","type":"User","site_admin":false},"milestone":null,"comments":5,"created_at":"2016-02-22T18:06:46Z","updated_at":"2016-02-22T20:12:06Z","closed_at":null,"body":"Let's run word2vec on the corpus of cases:\r\n\r\nhttps://radimrehurek.com/gensim/models/word2vec.html\r\n\r\nAnd then represent each opinion in the vector space. This would provide a language-based similarity metric between opinions that could complement the citation-based metrics.\r\n\r\nIt might also be useful as an input into a more general \"Related Cases\" metric that could use data on language, citations, time, and jurisdiction."},"comment":{"url":"https://api.github.com/repos/freelawproject/courtlistener/issues/comments/187364961","html_url":"https://github.com/freelawproject/courtlistener/issues/436#issuecomment-187364961","issue_url":"https://api.github.com/repos/freelawproject/courtlistener/issues/436","id":187364961,"user":{"login":"ellliottt","id":12103673,"avatar_url":"https://avatars.githubusercontent.com/u/12103673?v=3","gravatar_id":"","url":"https://api.github.com/users/ellliottt","html_url":"https://github.com/ellliottt","followers_url":"https://api.github.com/users/ellliottt/followers","following_url":"https://api.github.com/users/ellliottt/following{/other_user}","gists_url":"https://api.github.com/users/ellliottt/gists{/gist_id}","starred_url":"https://api.github.com/users/ellliottt/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/ellliottt/subscriptions","organizations_url":"https://api.github.com/users/ellliottt/orgs","repos_url":"https://api.github.com/users/ellliottt/repos","events_url":"https://api.github.com/users/ellliottt/events{/privacy}","received_events_url":"https://api.github.com/users/ellliottt/received_events","type":"User","site_admin":false},"created_at":"2016-02-22T20:12:06Z","updated_at":"2016-02-22T20:12:06Z","body":"Code for cosine similarity: http://stackoverflow.com/questions/17627219/whats-the-fastest-way-in-python-to-calculate-cosine-similarity-given-sparse-mat"}}