README.md

A Simple Twitter dashboard

A dashboard for any custom query with simple analysis tools

the dashboard runs in the local host, it's still a little bit slow, but that's an early version, most probably i will be working on it's performance.

Installation

to use the dashboard follow these steps

• create a virtualenv and activate it

$python -m venv venv
$source venv/bin/activate

• install all the requirements

$pip install -r requirements.txt

Now you are ready to go !

• start the app from app.py

$python app.py

you will find a message ending with the url like so

 * Running on http://127.0.0.1:5000/ (Press CTRL+C to quit)

Jump into the link and you will directed to the landing page

you can type your query and press analyse to get the dashboard, it's a little bit slow, but it works :D

Usage tips

• The max number of tweets are set to 1000 and for only one month back, you can override these option in the twitterdash/scraper.py file.
• Changing the poolsize in twitterdash/scraper.py will affect the speed of scraping but also the performance of your machine, don't get too far with it.

References

• Pages design were made possible by Bootstrap studio
• For Twitter scraping i used twitterscraper package, which is pretty useful !
• Word cloud is pretty easy using word_cloud package.
• Sentiment analysis here were made using TextBlob library.