{"action":"closed","issue":{"url":"https://api.github.com/repos/jsoma/playfair-projects/issues/259","repository_url":"https://api.github.com/repos/jsoma/playfair-projects","labels_url":"https://api.github.com/repos/jsoma/playfair-projects/issues/259/labels{/name}","comments_url":"https://api.github.com/repos/jsoma/playfair-projects/issues/259/comments","events_url":"https://api.github.com/repos/jsoma/playfair-projects/issues/259/events","html_url":"https://github.com/jsoma/playfair-projects/issues/259","id":172971346,"number":259,"title":"Analysing Movie Dialogues from the Cornell Corpus [Project3]","user":{"login":"HarshaDevulapalli","id":5492886,"avatar_url":"https://avatars0.githubusercontent.com/u/5492886?v=3","gravatar_id":"","url":"https://api.github.com/users/HarshaDevulapalli","html_url":"https://github.com/HarshaDevulapalli","followers_url":"https://api.github.com/users/HarshaDevulapalli/followers","following_url":"https://api.github.com/users/HarshaDevulapalli/following{/other_user}","gists_url":"https://api.github.com/users/HarshaDevulapalli/gists{/gist_id}","starred_url":"https://api.github.com/users/HarshaDevulapalli/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/HarshaDevulapalli/subscriptions","organizations_url":"https://api.github.com/users/HarshaDevulapalli/orgs","repos_url":"https://api.github.com/users/HarshaDevulapalli/repos","events_url":"https://api.github.com/users/HarshaDevulapalli/events{/privacy}","received_events_url":"https://api.github.com/users/HarshaDevulapalli/received_events","type":"User","site_admin":false},"labels":[{"id":412128536,"url":"https://api.github.com/repos/jsoma/playfair-projects/labels/Editor:%20Feedback%20Required","name":"Editor: Feedback Required","color":"E8F8FF","default":false},{"id":412151508,"url":"https://api.github.com/repos/jsoma/playfair-projects/labels/Type:%20Story","name":"Type: Story","color":"fef2c0","default":false},{"id":420569816,"url":"https://api.github.com/repos/jsoma/playfair-projects/labels/Update%20Requested","name":"Update Requested","color":"fbca04","default":false}],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":4,"created_at":"2016-08-24T14:44:39Z","updated_at":"2017-07-12T11:34:46Z","closed_at":"2017-07-12T11:34:46Z","body":"![draft1](https://cloud.githubusercontent.com/assets/5492886/17935338/f3164012-69e8-11e6-9d29-fd7d7f81eead.png)\n\nThe Cornell Corpus contains a large metadata-rich collection of fictional conversations extracted from \nraw movie scripts. My Pitch Number is #109 \n- 220,579 conversational exchanges between 10,292 pairs of movie characters\n- involves 9,035 characters from 617 movies\n- in total 304,713 utterances\n- movie metadata included:\n- genres\n- release year\n- IMDB rating\n- number of IMDB votes\n- IMDB rating\n- character metadata included:\n- gender (for 3,774 characters)\n- position on movie credits (3,321 characters)\n  The idea is to analyse dialogue and utterances by gender in each of these films and pitch them against one another as a test of gender dialogue equality. This is eerily similar to what has been done here : http://polygraph.cool/films/ - But the idea is to visualise it in a different way.\n\nData Source : https://www.cs.cornell.edu/~cristian/Cornell_Movie-Dialogs_Corpus.html\n# Story issue checklist\n\nMy pitch was (use the number): _\n- [x] My pitch has been approved (see `PITCHING.md`)\n- [x] My story issue links to my pitch issue\n- [x] I link to my finalized (ish) data source(s)\n- [x] I've included a brief summary of my story\n- [x] I've included some possible headlines or findings\n- [x] I've included some links or images as inspiration (if you have any)\n- [ ] I have received two comments of peer feedback\n- [x] I've included an update of my visualization/story in a comment\n- [ ] I have received two comments of peer feedback after posting an update\n- [ ] I have received editorial feedback\n"}}
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