EXPERIMENTS TOWARDS DETERMINING BEST TRAINING SAMPLE SIZE FOR AUTOMATED EVALUATION OF DESCRIPTIVE ANSWERS THROUGH SEQUENTIAL MINIMAL OPTIMIZATION
With number of students growing each year there is a strong need to automate systems capable of evaluating descriptive answers. Unfortunately, there aren’t many systems capable of performing this task. In this paper, we use a machine learning tool called LightSIDE to accomplish auto evaluation and s...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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ICT Academy of Tamil Nadu
2014-01-01
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| Series: | ICTACT Journal on Soft Computing |
| Subjects: | |
| Online Access: | http://ictactjournals.in/paper/6_Paper_710_714.pdf |
| _version_ | 1811337302999302144 |
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| author | Sunil Kumar C R. J. Rama Sree |
| author_facet | Sunil Kumar C R. J. Rama Sree |
| author_sort | Sunil Kumar C |
| collection | DOAJ |
| description | With number of students growing each year there is a strong need to automate systems capable of evaluating descriptive answers. Unfortunately, there aren’t many systems capable of performing this task. In this paper, we use a machine learning tool called LightSIDE to accomplish auto evaluation and scoring of descriptive answers. Our experiments are designed to cater to our primary goal of identifying the optimum training sample size so as to get optimum auto scoring. Besides the technical overview and the experiments design, the paper also covers challenges, benefits of the system. We also discussed interdisciplinary areas for future research on this topic. |
| first_indexed | 2024-04-13T17:52:51Z |
| format | Article |
| id | doaj.art-f1db5f991d4a48deae68d4f6d67e4fbc |
| institution | Directory Open Access Journal |
| issn | 0976-6561 2229-6956 |
| language | English |
| last_indexed | 2024-04-13T17:52:51Z |
| publishDate | 2014-01-01 |
| publisher | ICT Academy of Tamil Nadu |
| record_format | Article |
| series | ICTACT Journal on Soft Computing |
| spelling | doaj.art-f1db5f991d4a48deae68d4f6d67e4fbc2022-12-22T02:36:38ZengICT Academy of Tamil NaduICTACT Journal on Soft Computing0976-65612229-69562014-01-0142710714EXPERIMENTS TOWARDS DETERMINING BEST TRAINING SAMPLE SIZE FOR AUTOMATED EVALUATION OF DESCRIPTIVE ANSWERS THROUGH SEQUENTIAL MINIMAL OPTIMIZATIONSunil Kumar C0R. J. Rama Sree1Research and Development Center, Bharathiar University, IndiaDepartment of Computer Science, Rashtriya Sanskrit Vidyapeetha, IndiaWith number of students growing each year there is a strong need to automate systems capable of evaluating descriptive answers. Unfortunately, there aren’t many systems capable of performing this task. In this paper, we use a machine learning tool called LightSIDE to accomplish auto evaluation and scoring of descriptive answers. Our experiments are designed to cater to our primary goal of identifying the optimum training sample size so as to get optimum auto scoring. Besides the technical overview and the experiments design, the paper also covers challenges, benefits of the system. We also discussed interdisciplinary areas for future research on this topic.http://ictactjournals.in/paper/6_Paper_710_714.pdfDescriptive AnswersAuto EvaluationLightSIDEMachine LearningSVMSequential Minimal Optimization |
| spellingShingle | Sunil Kumar C R. J. Rama Sree EXPERIMENTS TOWARDS DETERMINING BEST TRAINING SAMPLE SIZE FOR AUTOMATED EVALUATION OF DESCRIPTIVE ANSWERS THROUGH SEQUENTIAL MINIMAL OPTIMIZATION ICTACT Journal on Soft Computing Descriptive Answers Auto Evaluation LightSIDE Machine Learning SVM Sequential Minimal Optimization |
| title | EXPERIMENTS TOWARDS DETERMINING BEST TRAINING SAMPLE SIZE FOR AUTOMATED EVALUATION OF DESCRIPTIVE ANSWERS THROUGH SEQUENTIAL MINIMAL OPTIMIZATION |
| title_full | EXPERIMENTS TOWARDS DETERMINING BEST TRAINING SAMPLE SIZE FOR AUTOMATED EVALUATION OF DESCRIPTIVE ANSWERS THROUGH SEQUENTIAL MINIMAL OPTIMIZATION |
| title_fullStr | EXPERIMENTS TOWARDS DETERMINING BEST TRAINING SAMPLE SIZE FOR AUTOMATED EVALUATION OF DESCRIPTIVE ANSWERS THROUGH SEQUENTIAL MINIMAL OPTIMIZATION |
| title_full_unstemmed | EXPERIMENTS TOWARDS DETERMINING BEST TRAINING SAMPLE SIZE FOR AUTOMATED EVALUATION OF DESCRIPTIVE ANSWERS THROUGH SEQUENTIAL MINIMAL OPTIMIZATION |
| title_short | EXPERIMENTS TOWARDS DETERMINING BEST TRAINING SAMPLE SIZE FOR AUTOMATED EVALUATION OF DESCRIPTIVE ANSWERS THROUGH SEQUENTIAL MINIMAL OPTIMIZATION |
| title_sort | experiments towards determining best training sample size for automated evaluation of descriptive answers through sequential minimal optimization |
| topic | Descriptive Answers Auto Evaluation LightSIDE Machine Learning SVM Sequential Minimal Optimization |
| url | http://ictactjournals.in/paper/6_Paper_710_714.pdf |
| work_keys_str_mv | AT sunilkumarc experimentstowardsdeterminingbesttrainingsamplesizeforautomatedevaluationofdescriptiveanswersthroughsequentialminimaloptimization AT rjramasree experimentstowardsdeterminingbesttrainingsamplesizeforautomatedevaluationofdescriptiveanswersthroughsequentialminimaloptimization |