0009-0006-7235-4950 About
Ramakrishna Bodige holds a Master of Technology (M.Tech.) degree in Computer Science and Engineering from Jawaharlal Nehru Technological University (JNTU), Hyderabad, and a Master of Science (M.Sc.) in Computer Science from Kakatiya University, Warangal, Telangana, India. He is currently research scholar at the School of Computer Science and Artificial Intelligence, SR University, Warangal, Telangana, India. His research is centered on large language models (LLMs), with a particular focus on developing content-based approaches for detecting sarcasm in textual data using deep learning techniques within the field of Natural Language Processing (NLP). He has published Five research articles in Scopus-indexed conferences and holds two patents related to his research work.
Employment
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SR University
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Publications (7)
- Unified transformer framework for sarcasm, irony, humor, and regular text detection on social media Save
- A Dual Encoder Architecture for Robust, Adversarial Aware Sarcasm Detection across Heterogeneous Text Corpora Save
- Leveraging Universal Sentence Encoder and Bi-LSTM for Robust Sarcasm Detection Save
- Transformer-based advances in sarcasm detection: a study of contextual models and methodologies Save
- From Humor to Irony: A Transformer-Based Multi-Class Sarcasm Detection Framework Save
- Leveraging Transformers for Robust Sarcasm Detection and Contextualunderstanding Save
- Unmasking Sarcasm: Content-Based Detection and Interpretation of Sarcastic Expressions Save