
RecentĪdvances in deep learning have shown that applying neural Systems have been developed over the past years. We also test the model’s performance using several regression models like Linear, Lasso, and Ridge, and methods like Artificial Neural Network to find the best fit giving the maximum correlation with human grades. In this project, we build a machine learning model which grades essays based on various features extracted using Natural Language Processing. Therefore, automatic grading of essays could prove to be the saviour. It also consumes a lot of human time and effort.
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Although, manual grading of essays could create discrepancy because of being graded by different individuals having different perceptions of the same content. Hence, when essays are graded and feedbacks are provided, it guides the writer to analyse the work and to have a better understanding of the topic in general. When a work is scored against some parameters, a scope of improvement is possible. This leads us to the reason why essay grading is important. Essay writing is an integral part for anyone willing to learn a language or skill or to simply exhibit one’s thoughts and ideas on a topic. Machine Learning and automation has progressed immensely over the years and has tend to make human lives simpler with reducing human effort and time on tasks by enabling a machine to perform them. The search for excellence in machine scoring of essays is continuing and numerous studies are being conducted to improve the effectiveness of the AES systems. The accuracy and reliability of these systems have been proven to be high. Many AES systems are used to overcome time, cost, and generalizability issues in writing assessment. Four types of AES systems, which are widely used by testing companies, universities, and public schools: Project Essay Grader (PEG), Intelligent Essay Assessor (IEA), E-rater, and IntelliMetric. AES systems can be very useful because they can provide the student with a score as well as feedback within seconds (Page, 2003). Particularly if they have large number of students and if they assign frequent writing assignments, providing individual feedback to student essays might be quite time consuming. However, responding to student papers can be a burden for teachers. Students need to receive feedback in order to increase their writing quality.

Revision and feedback are essential aspects of the writing process.

AES is defined as the computer technology that evaluates and scores the written prose (Shermis & Barrera, 2002 Shermis & Burstein, 2003 Shermis, Raymat, & Barrera, 2003).

The research on Automated Essay Scoring (AES) has revealed that computers have the capacity to function as a more effective cognitive tool (Attali, 2004). word processing, have been of great assistance to writers in modifying their essays. Automated Essay Scoring Semire DIKLI Florida State University Tallahassee, FL, USA ABSTRACT The impacts of computers on writing have been widely studied for three decades.
