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.

Published Paper   E-Certificate

N.VYSHNAVI, DR.A.PARIVAZHAGAN, P.RANGA VIKAS, K.CHARISHMA MADHAVI, & S.GOVINDA RAO (November-2023). SENTIMENTAL ANALYSIS FOR REAL TIME FEEDBACK USING ML ALGORITHMS. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(11), b237-b241. 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: 000121992

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

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave | IJNRD.ORG | IJNRD.COM | IJPUB.ORG

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

Call For Paper - Volume 10 | Issue 10 | October 2025

IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.

The INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to advance applied, theoretical, and experimental research across diverse fields. Its goal is to promote global scientific information exchange among researchers, developers, engineers, academicians, and practitioners. IJNRD serves as a platform where educators and professionals can share research evidence, models of best practice, and innovative ideas, contributing to academic growth and industry relevance.

Indexing Coverage includes Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar (AI-Powered Research Tool), Microsoft Academic, Academia.edu, arXiv.org, ResearchGate, CiteSeerX, ResearcherID (Thomson Reuters), Mendeley, DocStoc, ISSUU, Scribd, and many more recognized academic repositories.

How to submit the paper?

By Our website

Click Here to Submit Paper Online

By Mail

Send your paper to editor@ijnrd.org

Important Dates for Current issue

Paper Submission Open For: October 2025

Current Issue: Volume 10 | Issue 10 | October 2025

Impact Factor: 8.76

Last Date for Paper Submission: Till 31-Oct-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: IJNRD is an International Peer-reviewed, Refereed, and Open Access Journal with Transparent Peer Review as per the new UGC CARE 2025 guidelines, offering low-cost multidisciplinary publication with Crossref DOI and global indexing.

Subject Category: Research Area

Call for Paper: More Details