👍🎭👎 a university unit recommender system based on natural language (sentiment)
for the second sprint of our web research unit, you can read our paper or go look at the demo site (note it's on heroku so may take some time to boot)
most of this project will be using node so you'll need to install any dependencies. we're using eslint to lint the project.
make sure you're using a node version 4 or above for es6 (es2015) features
npm install -g eslint
npm install
- Install and start neo4j
- copy the
.env-sample file
to.env
and add details (username and password for neo4j, indeed api publisher api key). - [Optional]
node app/test
- Test it's working
you'll need to download and install neo4j (community edition).
to drop the database you can use the cipher command: MATCH (n) DETACH DELETE n
neo4j start
- start neo4jnpm start
- will seed db automatically if not seeded
we're using EditorConfig to set-up our coding style, you can install a plugin for this to take effect
e.g for atom apm install editorconfig
our linter will also pick up things like this as well
linting is done with eslint, you can install it your ide. running npm run lint
will run the linter command line.
make sure you build the latest clientside script to ES5 using npm run build
, add it to the repo for now and push up
section for experiment with our different tech and algorithms
currently we're using this folder to dump data that'll we'll process in the future
using the wonderful twemoji emoji set