Subjective Answer Evaluation using Machine Learning |
Author(s): |
| Sitanshu Kushwaha , St. Francis Institute of Technology; Nisha Ladhe, St. Francis Institute of Technology; Snovia Gonsalves, St. Francis Institute of Technology |
Keywords: |
| Machine Learning, NLP, Word Embeddings, Text Similarity |
Abstract |
|
The subjective answer evaluation using machine learning is not a new idea and has been in consideration for quite some time now. In this paper, by critiquing various methodologies used for this task in the past we are identifying the challenges of the problem at hand. Thus, we would like to propose a solution that uses Prediction based Word Embedding and try various similarity algorithms to evaluate the answer based on its semantic rather than just keywords. |
Other Details |
|
Paper ID: IJSRDV10I10188 Published in: Volume : 10, Issue : 1 Publication Date: 01/04/2022 Page(s): 112-114 |
Article Preview |
|
|
|
|
