Automated essay grading with recommendation
Cataloged from PDF version of thesis report.
Những tác giả chính: | , |
---|---|
Tác giả khác: | |
Định dạng: | Luận văn |
Ngôn ngữ: | English |
Được phát hành: |
BRAC University
2016
|
Những chủ đề: | |
Truy cập trực tuyến: | http://hdl.handle.net/10361/5399 |
id |
10361-5399 |
---|---|
record_format |
dspace |
spelling |
10361-53992022-01-26T10:13:18Z Automated essay grading with recommendation Arafat, Arshad Raihanuzzaman, Mohammed Ali, Md. Haider Rasel, Annajiat Alim Department of Computer Science and Engineering, BRAC University CSE Computer science and engineering Automated essay grading Cataloged from PDF version of thesis report. Includes bibliographical references (page 73-74). This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2016. In our thesis we have worked to analyze text essays then predict the score accordingly and also recommend similar essays as well as other noticeable required changes to the readers who want to improve their essay writing skills. In our research we have used a dataset of 13000 essays scored by two human graders provided by the Hewlett foundation available in Kaggle. We have used different natural language processing techniques and enormous natural language tools and tried to see different patterns present in the essays to score them. We have extracted noticeable features from these essays created dataset with necessary formation then again used supervised machine learning models to build an artificial system that could score further user given essays and also make suggestion. We have implemented a machine learning agent which is trained by linear regression algorithm on the extracted features to predict the score and then calculates cosine distance to determine similar helpful essays and recommends those essays to the users. Also we have developed our system to suggest the writer necessary correction of their mistakes and writing patterns. Arshad Arafat Mohammed Raihanuzzaman B. Computer Science and Engineering 2016-05-26T12:57:22Z 2016-05-26T12:57:22Z 2016 4/21/2016 Thesis ID 12101114 ID 12101029 http://hdl.handle.net/10361/5399 en BRAC University thesis 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. 74 pages application/pdf BRAC University |
institution |
Brac University |
collection |
Institutional Repository |
language |
English |
topic |
CSE Computer science and engineering Automated essay grading |
spellingShingle |
CSE Computer science and engineering Automated essay grading Arafat, Arshad Raihanuzzaman, Mohammed Automated essay grading with recommendation |
description |
Cataloged from PDF version of thesis report. |
author2 |
Ali, Md. Haider |
author_facet |
Ali, Md. Haider Arafat, Arshad Raihanuzzaman, Mohammed |
format |
Thesis |
author |
Arafat, Arshad Raihanuzzaman, Mohammed |
author_sort |
Arafat, Arshad |
title |
Automated essay grading with recommendation |
title_short |
Automated essay grading with recommendation |
title_full |
Automated essay grading with recommendation |
title_fullStr |
Automated essay grading with recommendation |
title_full_unstemmed |
Automated essay grading with recommendation |
title_sort |
automated essay grading with recommendation |
publisher |
BRAC University |
publishDate |
2016 |
url |
http://hdl.handle.net/10361/5399 |
work_keys_str_mv |
AT arafatarshad automatedessaygradingwithrecommendation AT raihanuzzamanmohammed automatedessaygradingwithrecommendation |
_version_ |
1814308189767729152 |