Amazon product reviews sentiment analysis using supervised learning algorithms

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

Detalhes bibliográficos
Main Authors:	Hawladar, Mohibullah, Ghosh, Arjan, Raad, Zaoyad Khan, Chowdhury, Wali Ahad, Shehan, Md Sazzad Hossain
Outros Autores:	Ashraf, Faisal Bin
Formato:	Thesis
Idioma:	English
Publicado em:	Brac University 2021
Assuntos:	Sentiment Analysis Opinion Mining Amazon Review Analysis Support Vector Machine (SVM) Decision tree Logistic Regression MLP Random Forest Analysis Sentiment analysis.
Acesso em linha:	http://hdl.handle.net/10361/14970

id	10361-14970
record_format	dspace
spelling	10361-149702022-01-26T10:04:55Z Amazon product reviews sentiment analysis using supervised learning algorithms Hawladar, Mohibullah Ghosh, Arjan Raad, Zaoyad Khan Chowdhury, Wali Ahad Shehan, Md Sazzad Hossain Ashraf, Faisal Bin Department of Computer Science and Engineering, Brac University Sentiment Analysis Opinion Mining Amazon Review Analysis Support Vector Machine (SVM) Decision tree Logistic Regression MLP Random Forest Analysis Sentiment analysis. This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021. Cataloged from PDF version of thesis. Includes bibliographical references (pages 41-42). E-commerce is gaining traction in today’s digitalized environment by taking products closer to customers without forcing them to leave their homes. A customer must study hundreds of reviews before making a purchase. The amount of internet evaluations for a single product can easily approach millions and make tracking and understanding of client feedback difficult. In the era of machine learning, however, it would be much easier to gain thousands of input and knowledge from them if a model were employed to polarize and understand from them. Consequently, sentiment analysis is a new study area combining natural language processing and text analytic to extract subjective information from sources and classify the polarity of expressed sentiments. We have employed Vector Machine Support, Naive Bays, Decision Tree, Random Forest, Logistic Regression, and MLP Classifiers for large-scale supervised education on the Amazon dataset and obtained satisfactory results. In the meantime, the MLP classifier produced the best results. Finally, this paper discusses sentiment analysis and product feedback opinion mining. Mohibullah Hawladar Arjan Ghosh Zaoyad Khan Raad Wali Ahad Chowdhury Md Sazzad Hossain Shehan B. Computer Science 2021-09-04T11:06:56Z 2021-09-04T11:06:56Z 2021 2021 Thesis ID 17101058 ID 20141045 ID 17101077 ID 17301057 ID 17301150 http://hdl.handle.net/10361/14970 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 42 pages application/pdf Brac University
institution	Brac University
collection	Institutional Repository
language	English
topic	Sentiment Analysis Opinion Mining Amazon Review Analysis Support Vector Machine (SVM) Decision tree Logistic Regression MLP Random Forest Analysis Sentiment analysis.
spellingShingle	Sentiment Analysis Opinion Mining Amazon Review Analysis Support Vector Machine (SVM) Decision tree Logistic Regression MLP Random Forest Analysis Sentiment analysis. Hawladar, Mohibullah Ghosh, Arjan Raad, Zaoyad Khan Chowdhury, Wali Ahad Shehan, Md Sazzad Hossain Amazon product reviews sentiment analysis using supervised learning algorithms
description	This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.
author2	Ashraf, Faisal Bin
author_facet	Ashraf, Faisal Bin Hawladar, Mohibullah Ghosh, Arjan Raad, Zaoyad Khan Chowdhury, Wali Ahad Shehan, Md Sazzad Hossain
format	Thesis
author	Hawladar, Mohibullah Ghosh, Arjan Raad, Zaoyad Khan Chowdhury, Wali Ahad Shehan, Md Sazzad Hossain
author_sort	Hawladar, Mohibullah
title	Amazon product reviews sentiment analysis using supervised learning algorithms
title_short	Amazon product reviews sentiment analysis using supervised learning algorithms
title_full	Amazon product reviews sentiment analysis using supervised learning algorithms
title_fullStr	Amazon product reviews sentiment analysis using supervised learning algorithms
title_full_unstemmed	Amazon product reviews sentiment analysis using supervised learning algorithms
title_sort	amazon product reviews sentiment analysis using supervised learning algorithms
publisher	Brac University
publishDate	2021
url	http://hdl.handle.net/10361/14970
work_keys_str_mv	AT hawladarmohibullah amazonproductreviewssentimentanalysisusingsupervisedlearningalgorithms AT ghosharjan amazonproductreviewssentimentanalysisusingsupervisedlearningalgorithms AT raadzaoyadkhan amazonproductreviewssentimentanalysisusingsupervisedlearningalgorithms AT chowdhurywaliahad amazonproductreviewssentimentanalysisusingsupervisedlearningalgorithms AT shehanmdsazzadhossain amazonproductreviewssentimentanalysisusingsupervisedlearningalgorithms
_version_	1814306991783280640

Amazon product reviews sentiment analysis using supervised learning algorithms

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