Document Details

Document Type : Thesis 
Document Title :
Impact of Sentiment Analysis and Reviewer Profile on Reviews Helpfulness.
تأثير تحليل الآراء والملف الشخصي للمقيًم على جودة التقييم
 
Subject : Faculty of Computing and Information Technology 
Document Language : Arabic 
Abstract : Due to the increase of using modern technologies such as the Internet, customers have become more active and allowed to share their opinions and experiences through online reviews on E-commerce platform. Moreover, the information provided by other customers is respected and honest than the information provided by the organization itself. Because of that, online reviews have become the major driving factor influencing purchase behavior and buying patterns of potential customers. However, it is difficult for a customer to cover all reviews about any product or service according to the massive amount of reviews latest years. Review Helpfulness (RH) can help in classify reviews to customers and make them easy for decision-making. Many previous researches provide different RH experiment, some of these researches address the relationship between some review and reviewer’s characteristics on RH. In addition, previous researches are limited to a few attributes and need more preprocessing steps to ensure the quality of the dataset. Also, there is need to build predictive classifier that can used in other E-commerce platform. To fill these gaps in the literature, this research thesis will investigate the possible impacts of the review and reviewer attributes on Review Helpfulness. The research will propose a model explains the impact of review and reviewers' attributes on RH and predict the RH. the model will implement on Amazon.com and evaluate by performance metrics such as accuracy and ROC curve. 
Supervisor : Dr. Manal Abdullah 
Thesis Type : Master Thesis 
Publishing Year : 1441 AH
2020 AD 
Added Date : Monday, May 25, 2020 

Researchers

Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
ياسمين عويض المطيريAlmutairi, Yasamiyan AweedResearcherMaster 

Files

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 46183.pdf pdf 

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