id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cana-3379	Abha Kiran Rajpoot	Text-Based Airline Sentiments Analysis Using Deep Learning Ensemble Optimization	2025	9	.pdf	application/pdf	3986	242	44	The Monkey learn model achieved 75% precision, 91% recall, and 89% of accuracy, showing the model capabilities in real time Text sentiment analysis. Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 7s (2025) 221 https://internationalpubls.com Text-Based Airline Sentiments Analysis Using Deep Learning Ensemble Optimization Abha Kiran Rajpoot1, Mayank Kumar Goyal2, Mandeep Kaur3, Anubhav Kumar4, Kimmi Verma5, Setu Garg6 1,4School of Computer Science & Engineering, Galgotias University, Greater Noida 2Department of Computer Science & Engineering, SSET, Sharda University, Greater Noida 3School of Computer Science Engineering and Technology, Bennett University, Greater Noida 5Department of Computer Science & Engineering, ABES Engineering College, Ghaziabad 6Department of ECE, ITS Engineering College, Greater Noida Article History: Received: 24-10-2024 Revised: 07-11-2024 Accepted: 15-12-2024 Abstract: Text Sentiment Analysis is one of the foundational pillars of sentiment analysis.	cache/cana-3379.pdf	txt/cana-3379.txt