Essay Rating System Using Machine Learning

Essay Rating is the process of assigning grades to the essays written for professional purposes. Automating this process implies the use of specified machine learning algorithms over the standard manual methods to evaluate the essays through Natural Language Processing. Essays can be termed as a large set of textual entities. Grading these essays involves distributing them into a fewer number of distinct categories based on certain constraints and standards. These categories are then used to assign the possible grades. Because of numerous factors like cost, time, biasness, and delay in results, there is a need to switch from manually checking the essays to automated grading. It is a very tedious task to evaluate a bulk of essays while probing every kind of error. Henceforth, this model of Automated Essay Grading System models seems quite assuring. It takes text input from the user and generates grades conforming to the pre-defined standards. After evaluating its useful attributes, an output is obtained in the form of a grade for the given essay. This project comprises of grammar-based Checking (Checking Unique Word count, Sentence Count, Grammatical Mistakes, Spelling Errors) and Context Based Checking (Application of NLP to categorize the essays).