Yulp

Yelp data challenge project to attempt to ascertain restaurant price ratings from written user reviews

Installing Dependencies

Python version: 3.5.0

$ pip install -r requirements.txt
$ python

then, once Python is loaded:

import nltk
nltk.download()

and choose to download "all" (at least, for now).

If you need to add new dependencies to the requirements.txt file, the easiest way to do so is like so:

$ pip freeze > requirements.txt

which will output your current dependency list to the file. You should probably only do that if you're using a virtualenv to isolate the dependencies for just this project.

Development Data

Included is a shell script (written against ZSH; it should work with BASH) that can generate a small set of test data from the full set of Yelp data provided for the challenge. You can run the script as follows:

./lib/create_dev_data.sh PATH_TO_REVIEW_DATA_FILE PATH_TO_BUSINESS_DATA_FILE

This will create files at ./data/review-data-dev.json and ./data/business-data-dev.json respectively. The Review data takes the first 1000 reviews from the full set; the business data is built by finding the businesses that correspond to those reviews and pulling them out into a separate file.

Note: to parse JSON data on the command line, the jq tool is required. More information about it can be found here.

Running Tests

From the root of the project directory, run

$ py.test

You can find out more information about pytest, you can find the documentation here.