Domain-specific knowledge graphs: A survey
B Abu-Salih - Journal of Network and Computer Applications, 2021 - Elsevier
Abstract Knowledge Graphs (KGs) have made a qualitative leap and effected a real
revolution in knowledge representation. This is leveraged by the underlying structure of the …
revolution in knowledge representation. This is leveraged by the underlying structure of the …
Healthcare knowledge graph construction: A systematic review of the state-of-the-art, open issues, and opportunities
The incorporation of data analytics in the healthcare industry has made significant progress,
driven by the demand for efficient and effective big data analytics solutions. Knowledge …
driven by the demand for efficient and effective big data analytics solutions. Knowledge …
Investigating antecedents of mobile payment systems' decision-making: a mediated model
Purpose The increase in mobile telephone penetration has offered new opportunities for
technology to improve payment operations all over the world. Little research has examined …
technology to improve payment operations all over the world. Little research has examined …
The efficiency measurement of business intelligence systems in the big data-driven economy: a multidimensional model
A Al-Okaily, AP Teoh, M Al-Okaily… - Information Discovery …, 2023 - emerald.com
Purpose There is a growing importance of business intelligence systems (BIS) adoption in
today's digital economy age which is characterized by uncertainty and ambiguity …
today's digital economy age which is characterized by uncertainty and ambiguity …
Detecting pain points from user-generated social media posts using machine learning
J Salminen, M Mustak, J Corporan… - Journal of …, 2022 - journals.sagepub.com
Artificial intelligence, particularly machine learning, carries high potential to automatically
detect customers' pain points, which is a particular concern the customer expresses that the …
detect customers' pain points, which is a particular concern the customer expresses that the …
Machine learning approach to auto-tagging online content for content marketing efficiency: A comparative analysis between methods and content type
J Salminen, V Yoganathan, J Corporan… - Journal of Business …, 2019 - Elsevier
As complex data becomes the norm, greater understanding of machine learning (ML)
applications is needed for content marketers. Unstructured data, scattered across platforms …
applications is needed for content marketers. Unstructured data, scattered across platforms …
Relational learning analysis of social politics using knowledge graph embedding
Abstract Knowledge Graphs (KGs) have gained considerable attention recently from both
academia and industry. In fact, incorporating graph technology and the copious of various …
academia and industry. In fact, incorporating graph technology and the copious of various …
The essential of sentiment analysis and opinion mining in social media: Introduction and survey of the recent approaches and techniques
With evolution of social network and Web 2.0, people not only consume content by
downloading on web but also contribute and produce new contents. People became more …
downloading on web but also contribute and produce new contents. People became more …
A systematic review of applications of natural language processing and future challenges with special emphasis in text-based emotion detection
Artificial Intelligence (AI) has been used for processing data to make decisions, Interact with
humans, and understand their feelings and emotions. With the advent of the Internet, people …
humans, and understand their feelings and emotions. With the advent of the Internet, people …
Netizens' behavior towards a blockchain-based esports framework: a TPB and machine learning integrated approach
Purpose Based on the concepts confined in Ajzen's theory of planned behavior (TPB), this
study investigates users' attitudes towards adoption of a blockchain-based framework in the …
study investigates users' attitudes towards adoption of a blockchain-based framework in the …