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galuhsahid · Jan 30, 2018 · 0b17c7d · 0b17c7d
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diff --git a/.gitignore b/.gitignore
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+# Logs
+logs
+*.log
+npm-debug.log*
+
+# Node.js
+frontend/node_modules/
+dist
+
+# Python
+__pycache__
+backend/venv
+*.pyc
+
+# macOs
+.DS_Store
diff --git a/LICENSE b/LICENSE
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+MIT License
+
+Copyright (c) 2017 oleg-agapov
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
diff --git a/Procfile b/Procfile
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+web: python run.py
diff --git a/README.md b/README.md
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+# Indonesian Word Embedding
+A web application that demonstrates Indonesian word embedding, inspired by [Word embedding demo](bionlp-www.utu.fi/wv_demo/).
+
+See the demo: http://indonesian-word-embedding.herokuapp.com
+
+Right now it serves pre-trained word vectors from [here](https://github.com/Kyubyong/wordvectors). The word vectors are trained on the Word2vec model from Wikipedia texts using the CBOW training algorithm. 
+
+## 💡 future improvements
+- **Refactoring**. This is my time using Vue so I'm sure there are a lot of things to be refactored that I haven't known yet!
+- **Serves multiple models**. Not only Word2vec using CBOW but also Word2vec using skip-gram or even FastText.
+- **Add more in-depth explanations**, possibly for each section.
+- As more explanations are added, **consider using Vuex**.
+- **Indonesian translation**.
+
+## 💭 contribute
+If you're interested to work in improving the points above or if you have any idea, feel free to make a pull request! 🙏
+
+## ⚙ setup
+
+``` bash
+# install front-end
+cd frontend
+npm install
+
+# serve with hot reload at localhost:8080
+npm run dev
+
+# build for production/Flask with minification
+npm run build
+
+# install back-end
+cd ../backend
+virtualenv -p python3 venv
+source venv/bin/activate
+pip install -r requirements.txt
+cd ..
+
+# serve back-end at localhost:5000
+FLASK_APP=run.py flask run
+```
+
+## credits
+- [Web app boilerplate](https://github.com/oleg-agapov/flask-vue-spa)
+- [Pre-trained word vectors](https://github.com/Kyubyong/wordvectors)
diff --git a/backend/requirements.txt b/backend/requirements.txt
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+click==6.7
+Flask==0.12.2
+Flask-Cors==3.0.3
+itsdangerous==0.24
+Jinja2==2.9.6
+MarkupSafe==1.0
+six==1.11.0
+Werkzeug==0.12.2
+gensim==3.2.0
diff --git a/dist/index.html b/dist/index.html
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+<!DOCTYPE html><html><head><meta charset=utf-8><title>Indonesian Word Embedding</title><link href=/static/css/app.6453b3869705c8c9b133ca1f76955558.css rel=stylesheet></head><body><div id=app></div><script type=text/javascript src=/static/js/manifest.7f1c2e8f31b366a39c24.js></script><script type=text/javascript src=/static/js/vendor.1dd1f9dcec4da471c2e0.js></script><script type=text/javascript src=/static/js/app.3d74719110ce005664c6.js></script></body></html>
diff --git a/dist/static/css/app.6453b3869705c8c9b133ca1f76955558.css b/dist/static/css/app.6453b3869705c8c9b133ca1f76955558.css
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