Automatic Content Analyzer

Authors

  • Piyush Mishra  Computer Engineering, SVKM NMIMS MPSTME, Shirpur, Dhule, Maharashtra, India
  • Ronit Parikh  Computer Engineering, SVKM NMIMS MPSTME, Shirpur, Dhule, Maharashtra, India
  • Pallavi Sharma  Computer Engineering, SVKM NMIMS MPSTME, Shirpur, Dhule, Maharashtra, India
  • Romit Parikh  Computer Engineering, SVKM NMIMS MPSTME, Shirpur, Dhule, Maharashtra, India
  • Dhananjay Joshi  Assistant Professor Computer Engineering, SVKM NMIMS MPSTME, Shirpur, Dhule, Maharashtra, India

Keywords:

Content Analyzer, MsNLP, Electronic Essay Rater, Latent Semantic Analysis, LSA, BOW, POS, NLP, Feature Extraction, Word Similarity

Abstract

Essays and short answers are crucial testing tools for assessing academic achievement, integration of ideas and ability to recall, but are expensive and time consuming to grade manually. Manual grading of essays takes up a significant amount of instructors' valuable time, and hence is an expensive process. Automated grading, if proven to match or exceed the reliability of human graders, will significantly reduce costs. The work done in our project on Content Analyzer System analyzes the subjective type answers and grade them based on the features of a written text such as language, grammar, organization and content . Our system automatically grades the essays or short answers based on the above mentioned features and provides the user with essay statistics which includes word count, sentence count, paragraph count and the overall weighted score which is the mean of scores of each feature.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2019-04-30

Issue

Volume 5, Issue 2, March-April-2019

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Piyush Mishra, Ronit Parikh, Pallavi Sharma, Romit Parikh, Dhananjay Joshi, " Automatic Content Analyzer, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 2, pp.818-822, March-April-2019.