Explanation: This is the first project of EECS-337. The purpose of this project is to learn NLP techniques by scraping millions of tweets about the Golden Globes in order to determine information about the event, such as the host, who won Best Picture, etc.

Clone this repo and install packages

$ git clone https://github.com/alexr17/nlp-golden-globes
$ cd nlp-golden-globes/
$ pip install -r requirements.txt

If you don't have pip you will need to install it.

Import nltk stopwords

$ python3
>>> import nltk
>>> nltk.download('stopwords')
>>> nltk.download('punkt')

Within the same directory, get the data: gg2013.json and gg2015.json from canvas and put it in the current, working directory.

This project runs on Python3, so any running of files or downloading of packages should be done with the appropriate commands $ python3 and $ pip. Once all the data and packages have been imported, then run:

$ python3 gg_api.py

This will print out the data in human, readable format including the presenters, nominees and winners for each award, along with the best, worst, and controversially dressed and best jokes.

If you want to try solving different sections, rather than adding to the main branch, create your own branch:

$ git checkout -b <branch-name>

When you want to merge your changes

$ git checkout master
$ git merge <branch-name>

$ pip3 install <package-name>
$ pip3 show <package-name>

If any packages have not been added, add the package name with the version to requirements.txt

Group 1: Alex Rhee, Itay Golan, Arno Murica, Anthony Leonardi

See also the list of contributors who participated in this project.

This project is licensed under the MIT License - see the LICENSE file for details