{"action":"opened","issue":{"url":"https://api.github.com/repos/SiyuSiyuYang/ORIE4740-Presidential-Election-Prediction-Project/issues/12","repository_url":"https://api.github.com/repos/SiyuSiyuYang/ORIE4740-Presidential-Election-Prediction-Project","labels_url":"https://api.github.com/repos/SiyuSiyuYang/ORIE4740-Presidential-Election-Prediction-Project/issues/12/labels{/name}","comments_url":"https://api.github.com/repos/SiyuSiyuYang/ORIE4740-Presidential-Election-Prediction-Project/issues/12/comments","events_url":"https://api.github.com/repos/SiyuSiyuYang/ORIE4740-Presidential-Election-Prediction-Project/issues/12/events","html_url":"https://github.com/SiyuSiyuYang/ORIE4740-Presidential-Election-Prediction-Project/issues/12","id":194185691,"number":12,"title":"Final Report Review","user":{"login":"woshibobo","id":21027422,"avatar_url":"https://avatars.githubusercontent.com/u/21027422?v=3","gravatar_id":"","url":"https://api.github.com/users/woshibobo","html_url":"https://github.com/woshibobo","followers_url":"https://api.github.com/users/woshibobo/followers","following_url":"https://api.github.com/users/woshibobo/following{/other_user}","gists_url":"https://api.github.com/users/woshibobo/gists{/gist_id}","starred_url":"https://api.github.com/users/woshibobo/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/woshibobo/subscriptions","organizations_url":"https://api.github.com/users/woshibobo/orgs","repos_url":"https://api.github.com/users/woshibobo/repos","events_url":"https://api.github.com/users/woshibobo/events{/privacy}","received_events_url":"https://api.github.com/users/woshibobo/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2016-12-07T22:09:34Z","updated_at":"2016-12-07T22:09:34Z","closed_at":null,"body":"The topic of evaluating economic data and sentiment scores on twitter as another way to look at the election results is truly interesting! And it is great that you guys used techniques that were not covered in this class to make the project possible. Also, nice job on the PCA.\r\nOne thing I think can be improved is the structure of the report. The title does not tell any information about the topic of the project. The conclusion and future work sections are unclear. Says the report, \"as unemployment drop and GDP per capita picks up, the model predicted a movement away from democrat candidates\". I would like to know how to quantify it, or somehow visualize it. "}}
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