The “Text and Visual Analytics” session successfully enhanced participants’ understanding of how unstructured data can be analyzed to generate actionable insights. Students gained hands-on exposure to the fundamental concepts of Natural Language Processing (NLP), text mining, sentiment analysis, and visual data interpretation. The resource person demonstrated real-time examples and practical workflows using relevant analytical tools, which helped participants understand the complete pipeline from data preprocessing to model-based insight generation.
The event enabled students to differentiate between various text and image analysis techniques and apply them to real-world scenarios such as social media analytics, content classification, object detection, and business intelligence applications. Participants actively engaged in discussions, clarified doubts, and showed keen interest in exploring advanced analytics tools and AI-based applications.
Overall, the event achieved its objective of equipping students with essential data analytics skills, improving their technical competency, and motivating them to pursue further learning, research, and project development in the domains of text analytics, visual analytics, and artificial intelligence.
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.
