{"action":"opened","issue":{"url":"https://api.github.com/repos/gw-sd-2016/StockMarketProgram/issues/8","labels_url":"https://api.github.com/repos/gw-sd-2016/StockMarketProgram/issues/8/labels{/name}","comments_url":"https://api.github.com/repos/gw-sd-2016/StockMarketProgram/issues/8/comments","events_url":"https://api.github.com/repos/gw-sd-2016/StockMarketProgram/issues/8/events","html_url":"https://github.com/gw-sd-2016/StockMarketProgram/issues/8","id":119385623,"number":8,"title":"Week 13: Sentiment Analysis","user":{"login":"dougdellolio","id":4141717,"avatar_url":"https://avatars.githubusercontent.com/u/4141717?v=3","gravatar_id":"","url":"https://api.github.com/users/dougdellolio","html_url":"https://github.com/dougdellolio","followers_url":"https://api.github.com/users/dougdellolio/followers","following_url":"https://api.github.com/users/dougdellolio/following{/other_user}","gists_url":"https://api.github.com/users/dougdellolio/gists{/gist_id}","starred_url":"https://api.github.com/users/dougdellolio/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/dougdellolio/subscriptions","organizations_url":"https://api.github.com/users/dougdellolio/orgs","repos_url":"https://api.github.com/users/dougdellolio/repos","events_url":"https://api.github.com/users/dougdellolio/events{/privacy}","received_events_url":"https://api.github.com/users/dougdellolio/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":0,"created_at":"2015-11-29T20:30:36Z","updated_at":"2015-11-29T20:30:36Z","closed_at":null,"body":"@twood02 @cctoombs This week I worked on adding the last component to help analyze press release data. I was able to successfully categorize press releases into certain categories of Positive, Negative, and Neutral. This will help me determine the movement of future press releases by comparing the content in each. I used the Lingpipe library for this. Next, I will have to add more files to the training models so that press releases can be better categorized. This will also be helpful when I apply this to tweets about a company as well. #7 "}}