GitHub / swap-253 / Twitter-US-Airline-Sentiment-Analysis

In this repository I have utilised 6 different NLP Models to predict the sentiments of the user as per the twitter reviews on airline. The dataset is Twitter US Airline Sentiment. The best models each from ML and DL have been deployed. It employs text preprocessing,

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/swap-253%2FTwitter-US-Airline-Sentiment-Analysis

Topics: airline-sentiment, artificial-neural-networks, bidirectional-lstm, deep-learning, dense-layers, deployment, flask-application, hyperparameter-tuning, keras-tensorflow, keras-tuner, knn-classification, lstm, lstm-sentiment-analysis, multinomial-naive-bayes, random-forest-classifier, sentiment-analysis, tensorflow

Files

No dependencies found