Enhancing sarcasm detection in sentiment analysis for cyberspace safety using advanced deep learning techniques

Enhancing sarcasm detection in sentiment analysis for cyberspace safety using advanced deep learning techniques

Abstract Social media has become an integral part of daily life, with platforms like Twitter serving as popular outlets for users to share information and express grievances. While social media offers numerous benefits, it can also be misused for cyberbullying, such as insults and harassment. This h...

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Bibliographic Details
Main Authors: Raghu Dhumpati, Archana Sasi, Shaik Johny Basha, Suryanarayana Vadhri, P. Saroja, Swathi Alluri, Ramesh Vatambeti
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Sarcasm detection
Enhanced sinogramic red deer
Twitter data
Sentiment analysis
Auxiliary features
Online Access:https://doi.org/10.1038/s41598-025-08131-x
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https://doi.org/10.1038/s41598-025-08131-x

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