5 papers
A Survey on Online User Aggression: Content Detection and Behavioral Analysis on Social Media
Swapnil Mane, Suman Kundu, Rajesh Sharma
The rise of social media platforms has led to an increase in cyber-aggressive behavior, encompassing a broad spectrum of hostile behavior, including cyberbullying, online harassmen…
Researchers eye-view of sarcasm detection in social media textual content
Swapnil Mane, Vaibhav Khatavkar
The enormous use of sarcastic text in all forms of communication in social media will have a physiological effect on target users. Each user has a different approach to misusing an…
Thematic context vector association based on event uncertainty for Twitter
Vaibhav Khatavkar, Swapnil Mane, Parag Kulkarni
Keyword extraction is a crucial process in text mining. The extraction of keywords with respective contextual events in Twitter data is a big challenge. The challenging issues are…
Effective Feature Extraction for Intrusion Detection System using Non-negative Matrix Factorization and Univariate analysis
Swapnil Mane, Vaibhav Khatavkar, Niranjan Gijare +1
An Intrusion detection system (IDS) is essential for avoiding malicious activity. Mostly, IDS will be improved by machine learning approaches, but the model efficiency is degrading…
CascadeNS: Confidence-Cascaded Neurosymbolic Model for Sarcasm Detection
Swapnil Mane, Vaibhav Khatavkar
Sarcasm detection in product reviews requires balancing domain-specific symbolic pattern recognition with deep semantic understanding. Symbolic representations capture explicit lin…