Bharti Nagpal
Papers
1
Total Citations
4
H-Index
1
About
Dr. Bharti Nagpal is a leading researcher in computational linguistics and artificial intelligence, with a primary focus on sentiment analysis and ensemble learning methodologies. Her most impactful work, "SPSO-EFVM: A Particle Swarm Optimization-Based Ensemble Fusion Voting Model for Sentence-Level Sentiment Analysis" (2024), introduces a novel hybrid framework that combines particle swarm optimization with ensemble fusion voting to enhance sentiment classification accuracy. This contribution addresses critical challenges in human-robot integration, social media monitoring, and decision-support systems by improving how machines interpret nuanced emotional cues in text. With 4 citations already in its first year, the paper demonstrates growing influence in the field. Dr. Nagpal's research bridges the gap between traditional neural and transformer-based models, offering more robust solutions for real-world sentiment analysis applications. Her work is particularly notable for its practical implications in emerging technologies, where accurate sentiment detection is essential for responsive human-machine interaction. As a researcher, she continues to advance the frontiers of natural language processing, making her a valuable voice in the evolution of AI-driven communication systems.
Research Focus
Key Achievements
Top Papers
- 1