Deep Auto-encoders Models and Visualisation Techniques for Analysis Of Student Feedbacks

July, 2018 - December, 2018

The Goal is to build Deep Learning models for analysis of student feedbacks for extracting actionable content related to courses and professors, also devising a statistical Parser for determining complaints and suggestions from feedbacks. The second aspect focuses on providing simple insightful visualization over dashboards for quick inferences and actions.

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