An automated essay evaluation system using natural language processing and sentiment analysi

<span lang="EN-US">An automated essay evaluation system is a machine-based approach leveraging long short-term memory (LSTM) model to award grades essays written in English language. <a name="_Hlk108785338"></a>natural language processing (NLP) used extract feature representations from the essays. The LSTM network learns extracted features and generates parameters for testing validation. main objectives of research include proposing training an using dataset manually graded with scores. Sentiment analysis performed determine sentiment as either positive, negative or neutral. twitter sample build classifier that analyzes based on student’s towards topic. Additionally, each subjected detection syntactical errors well plagiarism check detect novelty essay. overall grade calculated quality essay, number syntactic errors, percentage found corrected provided feedback students. This grading has gained average quadratic weighted kappa (QWK) score 0.911 99.4% accuracy classifier.</span>