id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cana-6128	Dhanroop Mal Nagar	Unmasking Online Aggression: Iterative Sentiment Analysis and Machine Learning for Enhanced Bully Tweet Detection	2025	11	.pdf	application/pdf	3663	170	15	● Recognition of Subtle Linguistic Cues: Sentiment analysis models recognize nuanced linguistic cues and emotional valence to differentiate general negative expressions from targeted aggression or harassment, vital due to cyberbullying's contextual complexities and indirect language that traditional methods might miss (Salawu et al., 2017). Narpat Singh Shekhawat Assistant Professor, CSE Dept., Engineering College Bikaner narpatsingh67@gmail.com Pratap Singh Barth Assistant Professor, CSE Dept., Engineering College Bikaner pratapcharan1985@gmail.com Article History: Received: 19-05-2025 Revised: 24-06-2025 Accepted: 15-07-2025 Abstract: This research paper details the development and iterative evaluation of various machine learning models for sentiment analysis specifically applied to the detection of bully tweets.	cache/cana-6128.pdf	txt/cana-6128.txt
