The expert talk series commenced with an overview of NLP fundamentals, covering topics such as tokenization, part-of-speech tagging, and sentiment analysis. The expert talk series on advanced text and visual analytics techniques which delved into deep learning models such as recurrent neural networks (RNNs) and transformers, showcasing their effectiveness in various NLP tasks. They also covered text mining techniques, data visualization methods, sentiment analysis, image recognition, and the integration of text and visual data for enhanced insights. The expert talk series on cutting-edge techniques and methodologies, highlighting innovative approaches to text and visual data analysis across various domains and applications. The session was highly informative, engaging, and inspiring, with valuable insights gained from both the presentations and interactions between industry expert and students. The Sessions on sentiment analysis, image recognition, and object detection provided insights into advanced techniques and methodologies, with real-world examples and case studies illustrating their applications. They also provided the insights in integrating text and visual data which was emphasized as a key approach to gaining deeper insights and understanding complex phenomena in various domains, including marketing, healthcare, finance, and social media.
KPRIET – An AI Integrated Campus
Preparing future-ready engineers with AI-integrated teaching and learning. KPRIET integrates Artificial Intelligence across teaching, learning, research and innovation to create a smarter, future-ready campus experience for students and faculty.