Performance Analysis on Student Feedback using Machine Learning Algorithms

IEEE BASE PAPER ABSTRACT:

It investigates opinion mining by means of supervised learning techniques to search out the emotion of the student input bolstered characterized choices of instructing and learning. The examination led includes the apparatus of a blend of AI and common language preparing systems on understudy input data accumulated from module investigation overview consequences of VR Siddhartha Engineering College, Vijayawada. Additionally, to offer a grade by grade clarification of the technique of accomplishment of opinion mining on or after scholar remarks using the open source tool Python, the work additionally offers a comparative overall performance take a look remarks supported, extracted alternatives like examination, teaching and so on. The consequences are as compared to be trying to find out higher overall performance with relevance several evaluation standards designed for the various techniques.

PROJECT OUTPUT VIDEO:

ALGORITHM / MODEL USED:

Naïve Bayes.

SYSTEM REQUIREMENTS:

HARDWARE REQUIREMENTS:

System : Pentium i3 Processor.

Hard Disk : 500 GB.

Monitor : 15’’ LED

Input Devices : Keyboard, Mouse

Ram : 4 GB

SOFTWARE REQUIREMENTS:

Operating System : Windows 10 / 11.
Coding Language : Python 3.8.
Web Framework :
Frontend : HTML, CSS, JavaScript.

REFERENCE:

Sharnitha Katragadda et. Al., “Performance Analysis on Student Feedback using Machine Learning Algorithms”, IEEE CONFERENCE, 2020.

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Performance Analysis on Student Feedback using Machine Learning Algorithms