This application was built to analyze how different parts of the country were tweeting about the Black Lives Matter movement.
The goal is to continue learning python and use it to gain insight into a subject I'm very interested in. By taking a sample of tweets from different cities, my hypothesis is that different areas of the country feel different about BLM at different times. So once we take the random sample of tweets, run a sentiment analysis on the content of the tweet to determine the differences between the cities.
We take advantage of the virtual env (I use venv myself) and highly recommend PyCharm for this application. Install the packages from requirements.txt and run through app,py.
We utilize Tweepy to pull in the latest tweets that we analyze for this application. Was super helpful/easy and I highly recommend!
For the Natural Language Processing, we utilize TextBlob to make things nice and simple. Once again, highly recommend this for beginners, but always looking for improvement on this.
We've been a fan of plotly recently because of the vast documentation and (which is a theme) how simple it is to get up and running.
I welcome anyone who wants to contribute!! I also encourage any suggestions or improvements, as I'm young in my journey and looking to learn.
