Comparison of RNN and LSTM Classifiers for Sentiment Analysis of Airline Tweets

Comparison of RNN and LSTM Classifiers for Sentiment Analysis of Airline Tweets

This study examines the application of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) models for sentiment analysis of airline-related tweets, focusing on customer feedback directed at U.S. airlines on the X platform (formerly Twitter). The objective was to utilize these deep learn...

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Bibliographic Details
Main Authors: Rogaia Yousif Ahmed, Noon Fahmi Yuosif, Sarmed Awad Ahmed, Al-Baraa Ali Mohammed
Format: Article
Language:English
Published: Informatics Department, Faculty of Computer Science Bina Darma University 2025-06-01
Series:Journal of Information Systems and Informatics
Subjects:
rnn
lstm
sentiment analysis
time-consuming
airlines tweets
Online Access:https://journal-isi.org/index.php/isi/article/view/1140
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