Automated short answer scoring
Cataloged from PDF version of thesis report.
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| Langue: | English |
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BRAC University
2017
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| Accès en ligne: | http://hdl.handle.net/10361/7600 |
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10361-76002022-01-26T10:04:58Z Automated short answer scoring Mithu, M. Rayhan Ahmed Robin, Syed Mohammad Moinul Islam Kamal, Moumita Mostakim, Moin Abdullah, Matin Saad Department of Computer Science and Engineering, BRAC University NLP techniques Automated scoring Short answer Cataloged from PDF version of thesis report. Includes bibliographical references (page 62-64). 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 analyses text short answers then predict the score accordingly by using different extracted features. In our research we have used around 1700 data for each dataset and are scored by two different humans provided by the Hewlett foundation available in Kaggle. We have used different NLP techniques to process the data in order to use it to the classifiers. Sckit was used to implement the algorithms of the different classifiers. The data were divided into two different data sets, one of them was the training set and the test set. The training set data was used to train the different classifiers afterwards the test set data was given to the classifiers to predict the score. The predicted score was compared with the score given by the humans to find the efficiency and accuracy of the different classifiers. M. Rayhan Ahmed Mithu Moumita Kamal Syed Mohammad Moinul Islam Robin B. Computer Science and Engineering 2017-01-16T05:42:47Z 2017-01-16T05:42:47Z 2016 12/14/2016 Thesis ID 12101115 ID 13201082 ID 12141001 http://hdl.handle.net/10361/7600 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. 64 pages application/pdf BRAC University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
NLP techniques Automated scoring Short answer |
| spellingShingle |
NLP techniques Automated scoring Short answer Mithu, M. Rayhan Ahmed Robin, Syed Mohammad Moinul Islam Kamal, Moumita Automated short answer scoring |
| description |
Cataloged from PDF version of thesis report. |
| author2 |
Mostakim, Moin |
| author_facet |
Mostakim, Moin Mithu, M. Rayhan Ahmed Robin, Syed Mohammad Moinul Islam Kamal, Moumita |
| format |
Thesis |
| author |
Mithu, M. Rayhan Ahmed Robin, Syed Mohammad Moinul Islam Kamal, Moumita |
| author_sort |
Mithu, M. Rayhan Ahmed |
| title |
Automated short answer scoring |
| title_short |
Automated short answer scoring |
| title_full |
Automated short answer scoring |
| title_fullStr |
Automated short answer scoring |
| title_full_unstemmed |
Automated short answer scoring |
| title_sort |
automated short answer scoring |
| publisher |
BRAC University |
| publishDate |
2017 |
| url |
http://hdl.handle.net/10361/7600 |
| work_keys_str_mv |
AT mithumrayhanahmed automatedshortanswerscoring AT robinsyedmohammadmoinulislam automatedshortanswerscoring AT kamalmoumita automatedshortanswerscoring |
| _version_ |
1814307177014231040 |