INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Implementation of Student feedback classification system using random forest algorithm
Authors Name:
Nandani Bharti
, Chetna Gayakwad , Trivenee Barskar, Subhangi Deshmukh , Prof. Satish Chadokar , Prof. Sonali Rathore
Unique Id:
IJSDR2404062
Published In:
Volume 9 Issue 4, April-2024
Abstract:
The objective of this study is to introduce a model for analysing student feedback to enhance teaching quality in academic institutions and universities. The system integrates machine ,learning algorithms with textual feedback, which provides valuable insights into teaching quality and suggests ways to improve teaching methodology. The textual feedback, comprising comments, opinions, and reviews on teacher performance, is analysed for polarity classification (positive, negative, and neutral). This approach reduces manual effort by automating feedback collection and storage in a accessible database. Among various machine learning techniques, the Random Forest Algorithm (RFA) is employed for text classification, exhibiting high accuracy albeit requiring longer training time for large datasets. The system presents teachers with feedback analysis through graphs and ratings for effective data visualization, facilitating qualitative feedback to enhance student learning.
Keywords:
Random Forest Algorithm, Training Data, Text Classification, Feature Extraction, Accuracy.
Cite Article:
"Implementation of Student feedback classification system using random forest algorithm", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.9, Issue 4, page no.406 - 410, April-2024, Available :http://www.ijsdr.org/papers/IJSDR2404062.pdf
Downloads:
000338171
Publication Details:
Published Paper ID: IJSDR2404062
Registration ID:210813
Published In: Volume 9 Issue 4, April-2024
DOI (Digital Object Identifier):
Page No: 406 - 410
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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