us-airline-dataset
There are 10 repositories under us-airline-dataset topic.
stefanrmmr/kaggle_twitter_airline_sentiment
Kaggle Twitter US Airline Sentiment, Implementation of a Tweet Text Sentiment Analysis Model, using custom trained Word Embeddings and LSTM-Deep learning [TUM-Data Analysis&ML summer 2021] @adrianbruenger @stefanrmmr
ShrideviReddy/Text-Sentiment-Dashboard-Deployment
Text Sentiment Dashboard created using Stream-lit and deployed using Heroku.
sandeepbansode/Support_Vector_Machine_U.S._Airline_tweets_Sentiment_Analysis
Sentiment Analysis: Given a data of US Airline tweets and their sentiment. The task is to do sentiment analysis about the problems of each major U.S. airline. Twitter data was scraped from February of 2015 and contributors were asked to first classify positive, negative, and neutral tweets, followed by categorizing negative reasons (such as "late flight" or "rude service").
avinashhsinghh/Sentiment-Analysis-using-RNN-_-LSTM-ULMFiT-
Sentiment-Analysis using RNN LSTM ULMFiT
shreyagopal/US-Airlines-Sentiment-Classification
NLP Sentiment Analysis with Naïve Bayes Classifier built in Python without using any libraries.
Aviral1-jain/DashboardUSAirlineSentiments
Streamlit Dashboard to analyze the sentiments of Tweets about US Airlines
hetpandya98/twitter-sentiment-analysis
Analyzing and predicting the sentiment of tweets for different US airlines using ML and DL techniques
Michael-Pytel/US-Airlines-Analysis
Processing structured data project - 2nd semester
ratih-wlndr/Twitter-US-Airline-Sentiment-Analysis
This code is used to perform sentiment analysis on US Airline using the Twitter dataset. It uses the CNN model and the LSTM model. You can download this dataset at https://www.kaggle.com/crowdflower/twitter-airline-sentiment.