ANALYSING AND SIMULATING USER FEEDBACK IN NEURAL NETWORK
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As web has become valuable part of one’s life so an individual wants to learn through effective learning. In this research we will focus on the need of taking user-feedback and study various tool used to conduct feedback survey. Here we consider feedback as information the system receives from the user as the result of system’s performance. We organized the end user feedback survey during our research, and compiled the feedback data in CLARA and through Neural Network to get the final analysis of current learning scenario.
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