Subjective question generation and answer evaluation using NLP

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.

Bibliografiska uppgifter
Huvudupphovsmän: Swapno, Ahmed Symum, Hamid, Mohammad Rafid, Shaheer, Safwan, Nur, Yaseen
Övriga upphovsmän: Rasel, Annajiat Alim
Materialtyp: Lärdomsprov
Språk:English
Publicerad: Brac University 2024
Ämnen:
Länkar:http://hdl.handle.net/10361/23647
id 10361-23647
record_format dspace
spelling 10361-236472024-07-03T21:04:13Z Subjective question generation and answer evaluation using NLP Swapno, Ahmed Symum Hamid, Mohammad Rafid Shaheer, Safwan Nur, Yaseen Rasel, Annajiat Alim Department of Computer Science and Engineering, Brac University Question generation Answer evaluation Machine learning Language processing Automatic answer grading Natural language processing (Computer science) Artificial intelligence This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023. Cataloged from PDF version of thesis. Includes bibliographical references (pages 38-39). Natural Language Processing (NLP) is one of the most revolutionary technologies today. It uses artificial intelligence to understand human text and spoken words. It is used for text summarization, grammar checking, sentiment analysis, and advanced chatbots and has many more potential use cases. Furthermore, it has also made its mark on the education sector. Much research and advancements have already been conducted on objective question generation; however, automated subjective question generation and answer evaluation are still in progress. An automated system to generate subjective questions and evaluate the answers can help teachers in assessing student work and enhance the learning experience of the students by allowing them to self-assess their understanding after reading an article or a chapter of a book. This research aims to improve current NLP models or make a novel one for automated subjective question generation and answer evaluation from text input. Ahmed Symum Swapno Mohammad Rafid Hamid Safwan Shaheer Yaseen Nur B.Sc. in Computer Science 2024-07-03T04:36:30Z 2024-07-03T04:36:30Z ©2023 2023 Thesis ID 20101308 ID 20101491 ID 22241148 ID 22241147 http://hdl.handle.net/10361/23647 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 48 pages application/pdf Brac University
institution Brac University
collection Institutional Repository
language English
topic Question generation
Answer evaluation
Machine learning
Language processing
Automatic answer grading
Natural language processing (Computer science)
Artificial intelligence
spellingShingle Question generation
Answer evaluation
Machine learning
Language processing
Automatic answer grading
Natural language processing (Computer science)
Artificial intelligence
Swapno, Ahmed Symum
Hamid, Mohammad Rafid
Shaheer, Safwan
Nur, Yaseen
Subjective question generation and answer evaluation using NLP
description This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.
author2 Rasel, Annajiat Alim
author_facet Rasel, Annajiat Alim
Swapno, Ahmed Symum
Hamid, Mohammad Rafid
Shaheer, Safwan
Nur, Yaseen
format Thesis
author Swapno, Ahmed Symum
Hamid, Mohammad Rafid
Shaheer, Safwan
Nur, Yaseen
author_sort Swapno, Ahmed Symum
title Subjective question generation and answer evaluation using NLP
title_short Subjective question generation and answer evaluation using NLP
title_full Subjective question generation and answer evaluation using NLP
title_fullStr Subjective question generation and answer evaluation using NLP
title_full_unstemmed Subjective question generation and answer evaluation using NLP
title_sort subjective question generation and answer evaluation using nlp
publisher Brac University
publishDate 2024
url http://hdl.handle.net/10361/23647
work_keys_str_mv AT swapnoahmedsymum subjectivequestiongenerationandanswerevaluationusingnlp
AT hamidmohammadrafid subjectivequestiongenerationandanswerevaluationusingnlp
AT shaheersafwan subjectivequestiongenerationandanswerevaluationusingnlp
AT nuryaseen subjectivequestiongenerationandanswerevaluationusingnlp
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