SENTIMENTAL ANALYSIS FOR REAL TIME FEEDBACK USING ML ALGORITHMS

SENTIMENTAL ANALYSIS FOR REAL TIME FEEDBACK USING ML ALGORITHMS

Registration ID: IJNRD_208448

Published ID: IJNRD2311131

DOI: Click Here to Get

N.VYSHNAVI , DR.A.PARIVAZHAGAN , P.RANGA VIKAS , K.CHARISHMA MADHAVI , S.GOVINDA RAO

Feedback system, SVM algorithm, Machine learning, Naive Bayes.

In The research was conducted in order to present the student feedback system analysis model for improving the quality of teaching in academic institutions and universities. The system primarily utilizes a machine learning algorithm and textual feedback. This system has been configured to analyze student feedback in the form of comments, opinions, and reviews about teachers' performance. The textual feedback offers valuable insights into overall teaching quality and suggests valuable ways to improve teaching methodology. The purpose of this research is to look into various machine learning approaches and determine their importance. SVM, Random Forest, Nave Bayes algorithm, and lexical analysis are examples of machine learning techniques. SVM has the highest accuracy but requires more time to train for large datasets and is used for regression and classification to classify text. The collection contains data on the effectiveness of instruction and learning. This project looks at the textual comments in the text document to classify student feedback into positive, negative, and neutral categories. The system assists in reducing manual work by collecting feedback and storing it in a database accessible to authorized individuals. The teacher receives feedback analysis in the form of ratings and graphs, making data visualization easier. This system is an effective method for providing teachers with qualitative feedback that improves students' learning.

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"SENTIMENTAL ANALYSIS FOR REAL TIME FEEDBACK USING ML ALGORITHMS", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 11, page no.b237-b241, November-2023, Available :https://ijnrd.org/papers/IJNRD2311131.pdf

Volume 8 Issue 11, November-2023

Pages : b237-b241

Paper Reg. ID: IJNRD_208448

Published Paper Id: IJNRD2311131

Downloads: 000121216

Research Area: Engineering

Country: virudhnagar, tamilnadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2311131.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2311131

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

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