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Intelligent Social Behavior Analysis Using Data-Driven Insights

This project proposes a cutting-edge approach to analyze social behavior utilizing data-driven insights. This innovative methodology aims to offer valuable contributions in understanding human interactions and beyond. By leveraging existing resources and novel techniques, we address the challenges in social behavior analysis faced by traditional methodologies. The project emphasizes the need for a new framework to extract meaningful information from complex social interactions. Through proper citations and references, we position this work as a significant advancement in the field. By incorporating state-of-the-art technologies and advanced algorithms, we aim to offer a unique perspective in social behavior analysis.

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Intelligent Social Behavior Analysis Using Data-Driven Insights

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  1. General comments on proposal • Motivation: why is it ‘needed’ & how it can be used (even beyond the project) • Include summary of the approach & brief intro before the related work • List the ‘challenges’ (why is this hard & cannot be performed using existing work) • List potential contributions • Justify every step/choice you make (why?)

  2. Related work: - positioning of the work is V IMP • What is to be borrowed (potentially) • What’s new & in what way is it new (qualitatively compared to other works) • Include proper citations and references throughout (check conference and journal papers for format) • Body: provide a framework; break down the project into components • What makes you in a position to address the challenges? • Leverage existing resources to get ‘an edge’ over existing work (e.g., iTrust open source code, traces, data-driven analysis and insight, specific knowledge about social behavior, on campus life, etc.)

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