SURVEY PAPER ON SMART ESSAY GRADER
Prof.Nidhi Sharma, Aman Sharma, Aman Sharma, Adhoksh Sonawane · International Journal of Engineering Applied Sciences and Technology · 2021
In order to optimize Human-Machine agreement for automatic evaluation of textual summaries or essays, automated essay grading has been a research field. With a growing number of people taking multiple exams such as the GRE, TOEFL, and IELTS, grading each paper would become more challenging, not to mention the challenge for humans to maintain a consistent mindset. In this situation, it is extremely difficult to rate a large number of essays in a short amount of time. This project aims to address this issue by developing a stable interface that will aid humans in grading essays. This study served as a medium for us to extract features such as the Bag of Words, numerical features such as the count of sentences and words, as well as their average lengths, structure, and organization, in order to rate the essay with the highest level of accuracy. This algorithm was chosen because it works well for small datasets.