Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Rami Mohawesh"'
Publikováno v:
International Journal of Cognitive Computing in Engineering, Vol 5, Iss , Pp 250-258 (2024)
Internet reviews significantly influence consumer purchase decisions across all types of goods and services. However, fake reviews can mislead both customers and businesses. Many machine learning (ML) techniques have been proposed to detect fake revi
Externí odkaz:
https://doaj.org/article/1e1605192e6642bdb890b2b053fb2d97
Autor:
Rami Mohawesh, Shuxiang Xu, Matthew Springer, Yaser Jararweh, Muna Al-Hawawreh, Sumbal Maqsood
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 35, Iss 8, Pp 101644- (2023)
Online reviews significantly impact consumers who are purchasing or seeking services via the Internet. Businesses and review platforms need to manage these online reviews to avoid misleading customers through fake ones. This necessitates developing i
Externí odkaz:
https://doaj.org/article/632f3ba9658d472c9450d44b548aea3a
Publikováno v:
AI Open, Vol 4, Iss , Pp 33-41 (2023)
Fake news detection is one of the most alluring problems that has grabbed the interest of Machine Learning (ML) and Natural Language Processing (NLP) experts in recent years. The majority of existing studies on detecting fake news are written in Engl
Externí odkaz:
https://doaj.org/article/c48c947ec377476c97d82da3228ab827
Publikováno v:
IEEE Access, Vol 9, Pp 138817-138833 (2021)
Cardiovascular related diseases are the most significant health concern around the globe. The most crucial health indicator is blood pressure because it gives essential information about the health of a patient’s heart. Cardiovascular diseases can
Externí odkaz:
https://doaj.org/article/d3190273d7794b5888c3a9eda3141fc4
Autor:
Rami Mohawesh, Shuxiang Xu, Son N. Tran, Robert Ollington, Matthew Springer, Yaser Jararweh, Sumbal Maqsood
Publikováno v:
IEEE Access, Vol 9, Pp 65771-65802 (2021)
In e-commerce, user reviews can play a significant role in determining the revenue of an organisation. Online users rely on reviews before making decisions about any product and service. As such, the credibility of online reviews is crucial for busin
Externí odkaz:
https://doaj.org/article/aec69d146c254a53ab70179ecb5ebd7f
Publikováno v:
Journal of Intelligent Information Systems.
Autor:
Sumbal Maqsood, Shuxiang Xu, Son Tran, Saurabh Garg, Matthew Springer, Mohan Karunanithi, Rami Mohawesh
Publikováno v:
Expert Systems with Applications. 197:116788
Online reviews have a significant influence on customers' purchasing decisions for any products or services. However, fake reviews can mislead both consumers and companies. Several models have been developed to detect fake reviews using machine learn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::976cfae7ac2569deabcecb781a6645e8
Publikováno v:
Expert Systems with Applications. 169:114318
Online reviews have a substantial impact on decision making in various areas of society, predominantly in the arena of buying and selling of goods. As such, the truthfulness of internet reviews is critical for both consumers and vendors. Fake reviews
Publikováno v:
International Journal of Information Technology and Web Engineering. 11:15-31
Sentiment Analysis (SA) is the process of determining the sentiment of a text written in a natural language to be positive, negative or neutral. It is one of the most interesting subfields of natural language processing (NLP) and Web mining due to it