Vikrantthenge/sentiment-Analyzer — reverse-engineered prompt

Build me a polished airline customer feedback sentiment dashboard that a recruiter or CX team could open and understand right away.

I want users to upload a CSV of airline reviews or use a demo file, then see whether feedback is positive or negative over time. Include an airline filter, a trend chart with clear red and blue sentiment colors, a diverging chart for sentiment swings, and a simple alert when negative feedback spikes. It should also show a word cloud of common negative themes so people can quickly spot issues like delays, poor service, baggage, or food.

Add a small NLP demo where someone can paste a sentence and see tokens, lemmas, named entities with friendly emoji labels, and a POS chart. Make it work with survey exports from tools like Qualtrics, Google Forms, and Typeform as long as they contain date, airline, and text columns.

Use Streamlit and Python, make it visually branded for an airline analytics portfolio, and include a clean README plus requirements so it can run locally and be deployed.