A Comparison of Machine Learning Techniques on Automated Essay Grading and Sentiment Analysis

Bibliographic Details
Main Author:	Sundaram, Arun C.
Language:	English
Published:	The Ohio State University / OhioLINK 2015
Subjects:	Computer Science
Online Access:	http://rave.ohiolink.edu/etdc/view?acc_num=osu1428460405

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spelling	ndltd-OhioLink-oai-etd.ohiolink.edu-osu14284604052021-08-03T06:29:47Z A Comparison of Machine Learning Techniques on Automated Essay Grading and Sentiment Analysis Sundaram, Arun C. Computer Science This research attempts to rate document classification algorithms used in two prominent problem domains - Automated Grading of Essays and Sentiment Analysis. These algorithms are variants of support vector machine based algorithms. The motivation was to find an algorithm that could be used by a web-based application. Ideally, this would provide real-time results whilst maximizing accuracy. Additionally, a new technique called Inclusive-Class is proposed to model the problem space for the Automated Grading of Essays.The algorithms that were evaluated included Support Vector Regression (LibSVR), Kernel Ridge Regression (KRR), Generalized Minimum Norm Problem (GMNP), Multi Kernel Learning (MKL) and K-Nearest Neighbors (KNN).For the automated grading of essays Multi-Class experiment, KRR algorithm performed the best with an accuracy of 57.15% and execution time of 0.03s. Using the Inclusive-Class technique, the GMNP algorithm performed the best with an accuracy of 56.59% and execution time of 0.10s.For the sentiment analysis Multi-Class experiment, LIBSVR algorithm performed the best with an accuracy of 78.78% and execution time of 9.9s. 2015-05-21 English text The Ohio State University / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=osu1428460405 http://rave.ohiolink.edu/etdc/view?acc_num=osu1428460405 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws.
collection	NDLTD
language	English
sources	NDLTD
topic	Computer Science
spellingShingle	Computer Science Sundaram, Arun C. A Comparison of Machine Learning Techniques on Automated Essay Grading and Sentiment Analysis
author	Sundaram, Arun C.
author_facet	Sundaram, Arun C.
author_sort	Sundaram, Arun C.
title	A Comparison of Machine Learning Techniques on Automated Essay Grading and Sentiment Analysis
title_short	A Comparison of Machine Learning Techniques on Automated Essay Grading and Sentiment Analysis
title_full	A Comparison of Machine Learning Techniques on Automated Essay Grading and Sentiment Analysis
title_fullStr	A Comparison of Machine Learning Techniques on Automated Essay Grading and Sentiment Analysis
title_full_unstemmed	A Comparison of Machine Learning Techniques on Automated Essay Grading and Sentiment Analysis
title_sort	comparison of machine learning techniques on automated essay grading and sentiment analysis
publisher	The Ohio State University / OhioLINK
publishDate	2015
url	http://rave.ohiolink.edu/etdc/view?acc_num=osu1428460405
work_keys_str_mv	AT sundaramarunc acomparisonofmachinelearningtechniquesonautomatedessaygradingandsentimentanalysis AT sundaramarunc comparisonofmachinelearningtechniquesonautomatedessaygradingandsentimentanalysis
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A Comparison of Machine Learning Techniques on Automated Essay Grading and Sentiment Analysis

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