Yash22222/NLP-MINI-PROJECT-SEM-7
This project scrapes passenger reviews for Emirates from the AirlineQuality website and performs sentiment analysis using VADER. The reviews are classified as positive, negative, or neutral, offering insights into customer experiences. Results are visualized through charts and word clouds to highlight overall sentiment trends.
No commits in the last 6 months.
Stars
1
Forks
—
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Oct 15, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/Yash22222/NLP-MINI-PROJECT-SEM-7"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
martinpella/twitter-airlines
Sentiment Analysis on tweets from US airlines customers
maxxx580/twitter-sentiment-analysis
sentimental analysis on tweets regarding the US airlines
Bochrache/Luxair-Flight-Sentiment-Analysis
Airline-Sentiment-Analysis with NLP
Kekyei/Sentiment-Analysis
This repository contains a project to analyze customer feedback data for British Airways (BA)...
jonathanrao99/Indian-airline-tweet-sentiment-analysis
✈️Indian airline Tweet sentiment analysis dashboard with interactive visualizations, dark theme...