Interactive Dashboards with Streamlit for Twitter US Airline Sentiment Data

Description

This project is an interactive Streamlit dashboard for analyzing Twitter sentiment data about US Airlines. It visualizes sentiment trends, generates word clouds, and provides insights into geospatial tweet data.

Features

• Visualize sentiment distributions using histograms and pie charts.
• Explore tweets by sentiment (positive, neutral, or negative).
• Filter tweets by hour of the day and airline.
• Generate word clouds for each sentiment.
• Display geospatial tweet data.

Installation

Prerequisites

• Python 3.7 or higher
• pip (Python package installer)

Steps

1. Clone the repository:

   git clone https://github.com/VedantSinghPundir/Interactive-Dashboards-with-Streamlit-and-Python-For-Twitter-US-Airline-Sentiment-Data.git
   cd Interactive-Dashboards-with-Streamlit

pip install -r requirements.txt streamlit run app/app.py