This project is one of my machine learning and data-driven web apps made using Streamlit. The goal of this project is to visualize various sentiment and exploratory analysis on tweets about US airlines.
View this app in action here:
Here are some demos on how to use the app:
The dataset was scraped from Twitter in February 2015 and contributors were first asked to classify positive, negative, and neutral tweets, followed by categorizing negative reasons (such as "late flight" or "rude service"). More details about the dataset can be found here
This project was inspired from Coursera's: "Create Interactive Dashboards with Streamlit and Python" guided project.