Area of research
Artificial Intelligence
Research interest
Research interests include Computer science, Artificial intelligence, Sentiment analysis, Utterance, Modality (human–computer interaction), and Sarcasm.
CFN: A Complex-Valued Fuzzy Network for Sarcasm Detection in Conversations
Quantum-inspired Neural Network for Conversational Emotion Recognition
Quantum Cognitively Motivated Decision Fusion for Video Sentiment Analysis
What Does Your Smile Mean? Jointly Detecting Multi-Modal Sarcasm and Sentiment Using Quantum Probability
Quantum-inspired multimodal fusion for video sentiment analysis
A Multi-task Learning Framework for Opinion Triplet Extraction
Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks
Quantum-Inspired Interactive Networks for Conversational Sentiment Analysis
Syntax-Aware Aspect-Level Sentiment Classification with Proximity-Weighted Convolution Network
Semantic Hilbert Space for Text Representation Learning
Detection of subtype blood cells using deep learning