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  • 标题:An OCR based automated method for textual analysis of questionnaires
  • 本地全文:下载
  • 作者:Devendra K. Tayal ; Sonakshi Vij ; Garima Malik
  • 期刊名称:Indian Journal of Computer Science and Engineering
  • 印刷版ISSN:2231-3850
  • 电子版ISSN:0976-5166
  • 出版年度:2017
  • 卷号:8
  • 期号:2
  • 页码:184-191
  • 出版社:Engg Journals Publications
  • 摘要:In real world scenarios, most applications rely on questionnaires to capture accurate and informative data. Inorder to increase the efficiency of questionnaire based feedback evaluation, we propose an automated system togenerate a summary of the data collected by the questionnaire through statistical plots. This paper presents asystem built on OCR that marks and evaluates questionnaires with minimum human intervention. For thepurpose of testing, we prepared a questionnaire to record student feedback for a certain coaching institution andfed the student response collected to our system. The system automatically marked the questionnaires andrecorded question-wise score in a database. Once the marking of questionnaires is completed, the systemdisplays the opinion of the class through statistical plots for identification of general opinion. The system hasbeen tested for 20 feedback forms. This platform is targeted towards the institutional authorities that analyzetheir course structure through forms.
  • 关键词:OCR; Questionnaire data; Statistical Analysis
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