Please use this identifier to cite or link to this item:
https://scholarbank.nus.edu.sg/handle/10635/153929
DC Field | Value | |
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dc.title | AUTOMATED ASSESSMENT OF ESSAYS AND SHORT-TEXT ANSWERS | |
dc.contributor.author | SHANG BAODI | |
dc.date.accessioned | 2019-05-09T08:16:04Z | |
dc.date.available | 2019-05-09T08:16:04Z | |
dc.date.issued | 2003 | |
dc.identifier.citation | SHANG BAODI (2003). AUTOMATED ASSESSMENT OF ESSAYS AND SHORT-TEXT ANSWERS. ScholarBank@NUS Repository. | |
dc.identifier.uri | https://scholarbank.nus.edu.sg/handle/10635/153929 | |
dc.description.abstract | Automatic essay evaluation is a challenging research field. Several technologies have gained considerable achievement in this field. In this project, a prototype of Automatic Essay Grader is implemented with Latent Semantic Analysis (LSA) technology, an effective technology for extracting and representing contextual usage meaning of words by applying statistical computations to a corpus of text. LSA is a powerful tool because of its characteristic corpus based representation of words, the information theoretic weighting, the use of the cosine to calculate distances between texts, and also Singular Value Decomposition (SVD) despite of its limitation in distinguishing words order. Upon the prototype of the essay grader software, several improvements on the algorithm were made and the web implementation was successfully realized. Test based on the corpus of IT management shows that the software performance is comparable to other essay evaluating applications. | |
dc.source | SMA BATCHLOAD 20190422 | |
dc.subject | Automated essay grading | |
dc.subject | Latent semantic analysis (LSA) | |
dc.subject | Web application | |
dc.type | Thesis | |
dc.contributor.department | SINGAPORE-MIT ALLIANCE | |
dc.contributor.supervisor | Looi Chee Kit | |
dc.contributor.supervisor | Ng Teck Khim | |
dc.description.degree | Master's | |
dc.description.degreeconferred | MASTER OF SCIENCE IN COMPUTER SCIENCE | |
dc.description.other | 1. Dr. Looi Chee Kit, Institute of System Science. 2. Dr. Ng Teck Khim, SMA Fellow, NUS | |
Appears in Collections: | Master's Theses (Restricted) |
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Shang Baodi_report_finalreport.pdf | 603.31 kB | Adobe PDF | RESTRICTED | None | Log In |
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