This project is a webapp that runs a sentiment analysis on tweets of a Twitter handle and gives feedback on sentiments over a period of time.

1) Fire up your favourite console & clone this repo somewhere:

❍ git clone https://github.com/vahiwe/TwitterAnalysis.git

2) Enter this directory:

❍ cd TwitterAnalysis/model_setup

3) Install python if not already installed and run this command to install python packages/dependencies:

❍ pip install -e .

4) Go back to previous directory:

❍ cd ..

5) Generate secret key for Django project here and input in TwitterAnalysis/config.py :

 KEY = 'xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx'

6) Get your Twitter Developer credentials and input in sentiment/config.py :

 consumer_key = 'xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx' 
 consumer_secret = 'xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx'
 access_token = 'xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx' 
 access_token_secret = 'xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx' 

7) Install spacy language model:

❍ python -m spacy download en

8) Run to create migrations for changes:

❍ python manage.py makemigrations

9) Run to apply those changes to the database:

❍ python manage.py migrate

10) Start the server to view the webapp:

❍ python manage.py runserver

11) Open your browser and type in this URL to view the webapp:

❍ http://127.0.0.1:8000/

Happy developing!