Manjeet Singh
Papers
1
Total Citations
5
H-Index
1
About
Dr. Manjeet Singh is a leading researcher in natural language processing and computational linguistics, with a primary focus on intent detection and user behavior analysis from social media data. His most cited work introduces a novel hybrid framework that combines K-means-based topic clustering with a heuristic-based capsule network, enabling more accurate and context-aware identification of user intentions from online reviews and opinions. This approach addresses critical challenges in understanding the nuanced goals behind user-generated content, such as purchasing intent, feedback, or complaint resolution. With over 5 citations on this key paper alone, his contributions are gaining traction among scholars working on conversational AI and sentiment analysis. Dr. Singh’s research is particularly notable for its practical applications in improving customer experience and policy feedback systems. His work stands out for integrating unsupervised learning with advanced neural architectures, offering a scalable solution for real-world intent detection tasks. By bridging the gap between raw social media text and actionable insights, Dr. Singh continues to shape the future of human-computer interaction and opinion mining.
Research Focus
Key Achievements
Top Papers
- 1