{"action":"created","issue":{"url":"https://api.github.com/repos/pyk/rojak/issues/75","repository_url":"https://api.github.com/repos/pyk/rojak","labels_url":"https://api.github.com/repos/pyk/rojak/issues/75/labels{/name}","comments_url":"https://api.github.com/repos/pyk/rojak/issues/75/comments","events_url":"https://api.github.com/repos/pyk/rojak/issues/75/events","html_url":"https://github.com/pyk/rojak/issues/75","id":182861963,"number":75,"title":"[rojak-analyzer] Required data","user":{"login":"pyk","id":2213646,"avatar_url":"https://avatars.githubusercontent.com/u/2213646?v=3","gravatar_id":"","url":"https://api.github.com/users/pyk","html_url":"https://github.com/pyk","followers_url":"https://api.github.com/users/pyk/followers","following_url":"https://api.github.com/users/pyk/following{/other_user}","gists_url":"https://api.github.com/users/pyk/gists{/gist_id}","starred_url":"https://api.github.com/users/pyk/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/pyk/subscriptions","organizations_url":"https://api.github.com/users/pyk/orgs","repos_url":"https://api.github.com/users/pyk/repos","events_url":"https://api.github.com/users/pyk/events{/privacy}","received_events_url":"https://api.github.com/users/pyk/received_events","type":"User","site_admin":false},"labels":[{"url":"https://api.github.com/repos/pyk/rojak/labels/docs","name":"docs","color":"d93f0b"},{"url":"https://api.github.com/repos/pyk/rojak/labels/tim-data","name":"tim-data","color":"0e8a16"}],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":{"url":"https://api.github.com/repos/pyk/rojak/milestones/1","html_url":"https://github.com/pyk/rojak/milestones/Rojak%20v1.0.0","labels_url":"https://api.github.com/repos/pyk/rojak/milestones/1/labels","id":2042617,"number":1,"title":"Rojak v1.0.0","description":"Rojak 1.0.0 merupakan codename untuk MVP yang akan kita deliver ke masyarakat saat masa kampanye di mulai 26 Okt - 31 Okt 2016","creator":{"login":"pyk","id":2213646,"avatar_url":"https://avatars.githubusercontent.com/u/2213646?v=3","gravatar_id":"","url":"https://api.github.com/users/pyk","html_url":"https://github.com/pyk","followers_url":"https://api.github.com/users/pyk/followers","following_url":"https://api.github.com/users/pyk/following{/other_user}","gists_url":"https://api.github.com/users/pyk/gists{/gist_id}","starred_url":"https://api.github.com/users/pyk/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/pyk/subscriptions","organizations_url":"https://api.github.com/users/pyk/orgs","repos_url":"https://api.github.com/users/pyk/repos","events_url":"https://api.github.com/users/pyk/events{/privacy}","received_events_url":"https://api.github.com/users/pyk/received_events","type":"User","site_admin":false},"open_issues":16,"closed_issues":44,"state":"open","created_at":"2016-10-02T21:06:37Z","updated_at":"2016-10-13T18:39:15Z","due_on":"2016-10-31T00:00:00Z","closed_at":null},"comments":0,"created_at":"2016-10-13T18:16:35Z","updated_at":"2016-10-13T18:41:34Z","closed_at":null,"body":"Kita sebelumnya pernah diskusi di channel `#tim-data` untuk topik ini: (copy paste)\r\n\r\n```\r\njadi gini:\r\n1. It’s possible untuk menentukan bias media dengan sentiment analytics beritanya saja. \r\nyg penting Author beritanya di perthatikan, karena memperngaruhi gaya bahasa dan lain lain.\r\n2. Sentiment `pro/contra` itu rada tricky sih, contohnya seperti beritanya agus di atas. \r\nTapi kalo kita pake plain `positif/negatif` itu semakin jelas. \r\nJelas beritanya positif mengenai Agus\r\n```\r\n\r\nnah waktu itu aku hanya kepikiran classifier untuk satu media aja sih, itu mungkin untuk pake data `author_name` sebagai feature.\r\n\r\nSetelah aku coba, ada beberapa masalah untuk approach ini:\r\n\r\n1. Kita harus buat satu media satu classifier => very time consuming\r\n2. Kita harus punya daftar author untuk setiap media (berdasarkan hasil dari #39 banyak media yg gak punya author)\r\n\r\nNah untuk sekarang `rojak-analyzer` cuman butuh 1 classifier saja sih untuk semua media. jadi kita hanya pakai data `raw_content` aja untuk training nya.\r\n\r\nMenurut kalian gimana? feel free to comment yeah 🙇 "},"comment":{"url":"https://api.github.com/repos/pyk/rojak/issues/comments/253601320","html_url":"https://github.com/pyk/rojak/issues/75#issuecomment-253601320","issue_url":"https://api.github.com/repos/pyk/rojak/issues/75","id":253601320,"user":{"login":"kevinluvian","id":17296437,"avatar_url":"https://avatars.githubusercontent.com/u/17296437?v=3","gravatar_id":"","url":"https://api.github.com/users/kevinluvian","html_url":"https://github.com/kevinluvian","followers_url":"https://api.github.com/users/kevinluvian/followers","following_url":"https://api.github.com/users/kevinluvian/following{/other_user}","gists_url":"https://api.github.com/users/kevinluvian/gists{/gist_id}","starred_url":"https://api.github.com/users/kevinluvian/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/kevinluvian/subscriptions","organizations_url":"https://api.github.com/users/kevinluvian/orgs","repos_url":"https://api.github.com/users/kevinluvian/repos","events_url":"https://api.github.com/users/kevinluvian/events{/privacy}","received_events_url":"https://api.github.com/users/kevinluvian/received_events","type":"User","site_admin":false},"created_at":"2016-10-13T18:41:34Z","updated_at":"2016-10-13T18:41:34Z","body":"kalo pake author_name sebagai feature, apakah ngak nanti classifiernya jadi bias? (melihat pro/kontra nya dari artikel author sebelumnya, padahal yang mau di classify adalah artikel author pada saat itu, exclusive dari artikel lain author tsb)\r\n\r\npertimbangan mau pakai author untuk jadi feature apa ya? aku pikir lebih bagus kalo gak bias?"}}
{"actor":{"display_login":"kevinluvian"}}