Shiva Shankar Reddy, D. R. Babu, K. Murthy, Vmnssvkr Gupta
{"title":"An approach for essay evaluation using system tools","authors":"Shiva Shankar Reddy, D. R. Babu, K. Murthy, Vmnssvkr Gupta","doi":"10.1109/IICIRES.2017.8078292","DOIUrl":null,"url":null,"abstract":"Evaluation is the major metric in any institution to judge student and their learning skills. Essay writing is one of the major ways in which students are tested. Now a days this evaluation is done manually. This requires lot of human effort and time. In this project, this evaluation technique is automated. Since machine cannot understand the evaluation measures we give them in terms of keywords which act as features. Here initially the student written essay is compared with keywords mentioned by admin. If the similarity is less than 20%, then the essay is not up to the standard. Otherwise, it is evaluated using segmentation, stop words removal, calculating word frequency, forming numerical features, sentence validation, spell check. There are some tools for evaluation purposes but our proposed method is more efficient than them in terms of accuracy of evaluate.","PeriodicalId":244063,"journal":{"name":"2017 International Conference on Innovative Research In Electrical Sciences (IICIRES)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Innovative Research In Electrical Sciences (IICIRES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IICIRES.2017.8078292","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Evaluation is the major metric in any institution to judge student and their learning skills. Essay writing is one of the major ways in which students are tested. Now a days this evaluation is done manually. This requires lot of human effort and time. In this project, this evaluation technique is automated. Since machine cannot understand the evaluation measures we give them in terms of keywords which act as features. Here initially the student written essay is compared with keywords mentioned by admin. If the similarity is less than 20%, then the essay is not up to the standard. Otherwise, it is evaluated using segmentation, stop words removal, calculating word frequency, forming numerical features, sentence validation, spell check. There are some tools for evaluation purposes but our proposed method is more efficient than them in terms of accuracy of evaluate.