US Airlines Sentiment Analysis

Built an interactive Streamlit app to analyze how travelers expressed sentiment about six major US airlines on Twitter: US Airways, United, American, Southwest, Delta, and Virgin America.

Tools: Python, Streamlit, NLP, data visualization
Repo: GitHub

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Dashboard Demo

The Streamlit dashboard lets users filter by sentiment, explore tweets by time and location, and view word clouds.

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Key Visualizations

Sentiment distribution

Histogram of positive, negative, and neutral tweets. The dataset contains 9,178 negative, 3,099 neutral, and 2,363 positive tweets. Radio buttons let users browse random tweets by sentiment.

Sentiment breakdown

Pie chart showing the percentage of each sentiment type.

Tweets by location and hour

Map view of tweet volume by location, with a slider to filter by hour of day.

Word cloud

Word cloud for neutral sentiment tweets.

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References

• Wikipedia
• DataCamp
• Coursera
• GitHub repo