{"action":"closed","issue":{"url":"https://api.github.com/repos/pyk/rojak/issues/5","repository_url":"https://api.github.com/repos/pyk/rojak","labels_url":"https://api.github.com/repos/pyk/rojak/issues/5/labels{/name}","comments_url":"https://api.github.com/repos/pyk/rojak/issues/5/comments","events_url":"https://api.github.com/repos/pyk/rojak/issues/5/events","html_url":"https://github.com/pyk/rojak/issues/5","id":180542789,"number":5,"title":"Rojak 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":[{"id":453892704,"url":"https://api.github.com/repos/pyk/rojak/labels/docs","name":"docs","color":"d93f0b","default":false},{"id":453897541,"url":"https://api.github.com/repos/pyk/rojak/labels/tim-data","name":"tim-data","color":"0e8a16","default":false}],"state":"closed","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":14,"closed_issues":114,"state":"open","created_at":"2016-10-02T21:06:37Z","updated_at":"2016-11-01T02:44:41Z","due_on":"2016-10-31T00:00:00Z","closed_at":null},"comments":11,"created_at":"2016-10-02T23:32:15Z","updated_at":"2016-11-01T02:44:41Z","closed_at":"2016-11-01T02:44:41Z","body":"Disini akan dijelaskan gambaran besar apa yang Tim Data bisa kontribusikan untuk Project Rojak.\n\nMainly kita akan kontribusi ke `rojak-database`, `rojak-pantau` dan `rojak-analyzer`. Feel free untuk fokus ke salah satu atau lebih dari satu. \n\nHal pertama yang harus kita lakuin adalah menentukan schema database. Hal ini di perlukan agar Tim API bisa membuat mockup API nya, kemudian Tim UI bisa menggunakan mockup API nya untuk memulai development. Hal ini kita diskusikan lebih lanjut di #2 \n\nHal kedua adalah `rojak-pantau` dan `rojak-analyzer`. Untuk `rojak-pantau` kita akan diskusikan stack apa yang kita pakai, kita juga bisa menggunakan stack kita sebelumnya di Sayoeti AI. Jadi kita tinggal improve aja dan menambah banyak media lagi. Untuk gambaran umum `rojak-pantau` ada di #10 \n\nUntuk `rojak-analyzer`,  kira-kira gambaran besar step yang harus dilakuin seperti ini:\n1. Menentukan jenis-jenis sentimen nya\n2. Mengumpulkan training data (Berita + label sentimen nya)\n3. Benchmark metode untuk sentiment analysis nya. Kita akan menggunakan metode yang menghasilkan model dengan akurasi terbaik (dan beberapa metrics lainnya). \n\nStep 1 kita diskusikan bersama, Step 2 bersamaan secara parallel dengan akhirnya menggabungkan data yang di dapat jadi satu, Step 3 kita masing-masing usul metode apa yang dipakai beserta link ke papersnya (untuk refrensi yang lain). Step 3 yang akan sangat menyenangkan hehe :).\n\nKira-kira gambaran besarnya nanti seperti itu, semoga kedengarannya menyenangkan!\n\n yup mungkin step ngumpulin dan labelin data yang memakan waktu dan paling membosankan hehe. However dengan kita melakukannya bersama-sama kita harap bisa lebih sedikit seru! :).\n\nSilahkan lihat masing-masing github issue yang lain untuk lebih detailnya.\n\nKalau ada pertannyaan feel free to comment below\n"}}
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