This app is based on the Tweepy and the Twython APIs in order to scrap tweets whether by a list of hashtags or by user.
The second tab of this app gives the possibility to visualize the tweets activity and the results of topic modeling on the scraped tweets during this scraping period.
First create a virtual environment with conda or venv inside a temp folder, then activate it.
virtualenv venv
# Windows
venv\Scripts\activate
# Or Linux
source venv/bin/activate
Clone the git repo, then install the requirements with pip
git clone https://github.com/UnessElmar/Tweelytics.git
cd tweelytics_app
pip install -r requirements.txt
To run the app, please create a Tweepy developer account (link is in the About the App section). There is an example of how the bash script should look like in the secrets.example.env file. Be sure to create a new file named .env and put your credentials in the file. Therefore, your credentials will not get pushed to github as the .env file is in the .gitignore.
Run the app
python index.py
This app uses Tweepy and Twython APIs in order to scrap tweets. This is a tutorial of how to get the access tokens.
- Dash - Main server and interactive components
- Plotly Python - Used to create the interactive plots
The following are screenshots for the app in this repo:
