Social Credibility Incorporating Semantic Analysis and Machine Learning: A Survey of the State-of-the-Art and Future Research Directions

AbstractThis paper presents trends and performance of opinion retrieval techniques proposed within the last 8 years. We identify major techniques in opinion retrieval and group them into four popular categories. We describe the state-of-the-art techniques for each category and emphasize on their performance and limitations. We then summarize with a performance comparison table for the techniques on different datasets. Finally, we highlight possible future research directions that can help solve existing challenges in opinion retrieval.

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A Survey of the Application of Artifical Intellegence on COVID-19 Diagnosis and Prediction

Engineering, Technology & Applied Science Research ◽

10.48084/etasr.4503 ◽

2021 ◽

Vol 11 (6) ◽

pp. 7824-7835

Author(s):

H. Alalawi ◽

M. Alsuwat ◽

H. Alhakami

Keyword(s):

Machine Learning ◽

State Of The Art ◽

Future Research ◽

Classification Algorithms ◽

Classification Methods ◽

Research Directions ◽

The World ◽

Modern Methods ◽

Future Research Directions ◽

Class Labels

The importance of classification algorithms has increased in recent years. Classification is a branch of supervised learning with the goal of predicting class labels categorical of new cases. Additionally, with Coronavirus (COVID-19) propagation since 2019, the world still faces a great challenge in defeating COVID-19 even with modern methods and technologies. This paper gives an overview of classification algorithms to provide the readers with an understanding of the concept of the state-of-the-art classification algorithms and their applications used in the COVID-19 diagnosis and detection. It also describes some of the research published on classification algorithms, the existing gaps in the research, and future research directions. This article encourages both academics and machine learning learners to further strengthen the basis of classification methods.

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Incorporating VR, AR, and Related Technologies in the Tourism Industry

Managerial Challenges and Social Impacts of Virtual and Augmented Reality - Advances in Computational Intelligence and Robotics ◽

10.4018/978-1-7998-2874-7.ch013 ◽

2020 ◽

pp. 211-233

Author(s):

Sandra Maria Correia Loureiro ◽

Eduardo Moraes Sarmento ◽

João Ferreira do Rosário

Keyword(s):

Augmented Reality ◽

World Economy ◽

State Of The Art ◽

Tourism Industry ◽

The State ◽

Future Research ◽

Research Directions ◽

The World ◽

Future Research Directions ◽

Virtual And Augmented Reality

The chapter exposes the importance of tourism in the world economy, gives an overview of what academic and practitioners are doing regarding the use of engagement-facilitating technologies in tourism, and suggests avenues for further research. Authors give insights about the evolution and important of tourism. The chapter presents an overview of the state of the art on the use of engagement-facilitating technologies (mainly virtual and augmented reality) in research. Examples of applications of engagement-facilitating technologies are given. Authors suggest future research directions and present conclusions.

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