US Airlines Sentiment Analysis

Using Python and Streamlit to build beautiful and interactive dashboards and web apps, all with zero web development experience! We are going to load, explore, visualize and interact with data, and generate dashboards in less than 150 lines of Python code!

Flow of Execution

• Turn Simple Python Scripts into Web Apps
• Load the Twitter US Airline Sentiment Data
• Display Tweets in the Sidebar
• Plot Interactive Bar Plots and Pie Charts
• Plotting Location Data on an Interactive Map
• Plot Number of Tweets by Sentiment for Each Airline
• Word Cloud for Positive, Neutral, and Negative Tweets

How to run?

1. Fork this repo
2. Clone it in your system
3. Open the path in your terminal
4. Install the Requirements of the project:

   $ pip install -r requirements.txt
   

5. In the terminal enter:

   $ streamlit run app.py