{"action":"created","issue":{"url":"https://api.github.com/repos/berkmancenter/mediacloud/issues/113","repository_url":"https://api.github.com/repos/berkmancenter/mediacloud","labels_url":"https://api.github.com/repos/berkmancenter/mediacloud/issues/113/labels{/name}","comments_url":"https://api.github.com/repos/berkmancenter/mediacloud/issues/113/comments","events_url":"https://api.github.com/repos/berkmancenter/mediacloud/issues/113/events","html_url":"https://github.com/berkmancenter/mediacloud/issues/113","id":206401108,"number":113,"title":"Add Japanese language support","user":{"login":"pypt","id":181949,"avatar_url":"https://avatars0.githubusercontent.com/u/181949?v=3","gravatar_id":"","url":"https://api.github.com/users/pypt","html_url":"https://github.com/pypt","followers_url":"https://api.github.com/users/pypt/followers","following_url":"https://api.github.com/users/pypt/following{/other_user}","gists_url":"https://api.github.com/users/pypt/gists{/gist_id}","starred_url":"https://api.github.com/users/pypt/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/pypt/subscriptions","organizations_url":"https://api.github.com/users/pypt/orgs","repos_url":"https://api.github.com/users/pypt/repos","events_url":"https://api.github.com/users/pypt/events{/privacy}","received_events_url":"https://api.github.com/users/pypt/received_events","type":"User","site_admin":false},"labels":[{"id":45130357,"url":"https://api.github.com/repos/berkmancenter/mediacloud/labels/enhancement","name":"enhancement","color":"84b6eb","default":true}],"state":"open","locked":false,"assignee":{"login":"pypt","id":181949,"avatar_url":"https://avatars0.githubusercontent.com/u/181949?v=3","gravatar_id":"","url":"https://api.github.com/users/pypt","html_url":"https://github.com/pypt","followers_url":"https://api.github.com/users/pypt/followers","following_url":"https://api.github.com/users/pypt/following{/other_user}","gists_url":"https://api.github.com/users/pypt/gists{/gist_id}","starred_url":"https://api.github.com/users/pypt/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/pypt/subscriptions","organizations_url":"https://api.github.com/users/pypt/orgs","repos_url":"https://api.github.com/users/pypt/repos","events_url":"https://api.github.com/users/pypt/events{/privacy}","received_events_url":"https://api.github.com/users/pypt/received_events","type":"User","site_admin":false},"assignees":[{"login":"pypt","id":181949,"avatar_url":"https://avatars0.githubusercontent.com/u/181949?v=3","gravatar_id":"","url":"https://api.github.com/users/pypt","html_url":"https://github.com/pypt","followers_url":"https://api.github.com/users/pypt/followers","following_url":"https://api.github.com/users/pypt/following{/other_user}","gists_url":"https://api.github.com/users/pypt/gists{/gist_id}","starred_url":"https://api.github.com/users/pypt/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/pypt/subscriptions","organizations_url":"https://api.github.com/users/pypt/orgs","repos_url":"https://api.github.com/users/pypt/repos","events_url":"https://api.github.com/users/pypt/events{/privacy}","received_events_url":"https://api.github.com/users/pypt/received_events","type":"User","site_admin":false}],"milestone":null,"comments":19,"created_at":"2017-02-09T04:28:27Z","updated_at":"2017-05-13T01:35:20Z","closed_at":null,"body":"Needed:\r\n\r\n* stemmer (is it even applicable for Japanese?)\r\n* stop word list\r\n* sentence tokenizer\r\n\r\nCoordinate with Mika Kanaya & Rahul."},"comment":{"url":"https://api.github.com/repos/berkmancenter/mediacloud/issues/comments/301217448","html_url":"https://github.com/berkmancenter/mediacloud/issues/113#issuecomment-301217448","issue_url":"https://api.github.com/repos/berkmancenter/mediacloud/issues/113","id":301217448,"user":{"login":"pypt","id":181949,"avatar_url":"https://avatars0.githubusercontent.com/u/181949?v=3","gravatar_id":"","url":"https://api.github.com/users/pypt","html_url":"https://github.com/pypt","followers_url":"https://api.github.com/users/pypt/followers","following_url":"https://api.github.com/users/pypt/following{/other_user}","gists_url":"https://api.github.com/users/pypt/gists{/gist_id}","starred_url":"https://api.github.com/users/pypt/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/pypt/subscriptions","organizations_url":"https://api.github.com/users/pypt/orgs","repos_url":"https://api.github.com/users/pypt/repos","events_url":"https://api.github.com/users/pypt/events{/privacy}","received_events_url":"https://api.github.com/users/pypt/received_events","type":"User","site_admin":false},"created_at":"2017-05-13T01:35:20Z","updated_at":"2017-05-13T01:35:20Z","body":"> I think something like this would be a good validation\r\n\r\nHere's the validation:\r\n\r\nhttps://docs.google.com/spreadsheets/d/14J8qM2WzYJvkORyVaG0t6euzoVC9XoO0mf40zQ5LAls/edit?usp=sharing\r\n\r\nStopword count in the \"after\" (with my fixes) test is slightly smaller, nearing the margin of error though.\r\n\r\nPlease also note that the \"after\" word list includes terms such as `president-elect`, `anti-immigration`, `cancer-causing` etc. which are not present in the current word cloud (due to sentences being split into words using `(\\w+)`)."}}
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