Text Mining and Analytics: A Case Study from News Channels Posts on Facebook

Mhamdi, Chaker; Al-Emran, Mostafa; Salloum, Said A.

doi:10.1007/978-3-319-67056-0_19

Cited by 55 publications

(22 citation statements)

References 16 publications

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“…The results of the study indicate that the most covered topics on these news channels pages were US election news. CNN had the most shared posts about the topic [27]. Another research paper proposed a deception detection mechanism for crowdfunding projects by considering both static project information and dynamic communication between funders and fundraiser for classification [28].…”

Section: Text Miningmentioning

confidence: 99%

Comparison of Voluntary versus Mandatory Vaccine Discussions in Online Health Communities: A Text Analytics Approach

Alazazi¹,

Wang

2021

Proceedings of the Annual Hawaii International Conference on System Sciences

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Vaccines are vital health interventions. However, they are controversial and some people support them while others reject them. Social media discussion and big data are a rich source to understand people's insights about different vaccines and the related topics that concern most of them. This study aims to explore the online discussions about mandatory and voluntary vaccines using text analysis techniques. Reddit social platform is popular in online health discussion and thus data from Reddit is analyzed. The results show that different aspects are discussed for different types of vaccines. The discussion of mandatory vaccines is more interactive and is focused on the risks associated with them. Voluntary vaccines' discussion is focused on their effectiveness and whether to get them or not. The study have important implications for health agencies and researchers as well as for healthcare providers and caregivers.

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Section: Text Miningmentioning

confidence: 99%

Comparison of Voluntary versus Mandatory Vaccine Discussions in Online Health Communities: A Text Analytics Approach

Alazazi¹,

Wang

2021

Proceedings of the Annual Hawaii International Conference on System Sciences

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“…As social media websites have attracted millions of users, these websites store a massive number of texts generated by users of these websites [14][15][16][17][18][19][20][21]. Researchers were interested in investigating these metadata for search purposes [17,18,[22][23][24][25].…”

Section: Literature Reviewmentioning

confidence: 99%

Sentiment Analysis in English Texts

Alshamsi¹,

Bayari²,

Salloum³

2020

Adv. sci. technol. eng. syst. j.

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“…Nobody could deny the role of information systems in our daily lives [18], [19]. Knowledge management plays a vital role in accelerating the wheels of information systems [20]- [22].…”

Section: Literature Reviewmentioning

confidence: 99%

The Role of KM in Enhancing AI Algorithms and Systems

AlGhanem¹,

Shanaa²,

Salloum³

et al. 2020

Adv. sci. technol. eng. syst. j.

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Knowledge Management processes present a vital role in improving AI systems and algorithms. Many studies and reviews were carried out to examine the relationship between KM processes and AI systems. However, studies were focusing on specific methods and the impact on some AI algorithms, neglecting the role of other KM processes and how it may affect the AI system to achieve the objective, which reduces the adoption in some organizations. The current study shows the relation between KM processes and AI systems from a higher perspective, giving different options to apply other KM processes for the same AI algorithm to reduce any implementation challenges and enhance the adoption level. The review looks into 16 studies collected from a different database from 2014 to 2019. The main finding of the research was the massive impact of some KM processes like knowledge acquisition and knowledge creation on the different types of AI systems and algorithms to give an additional option for organizations during the implementation. Additionally, the research finds that most of the studies agree on the positive relationship between knowledge management processes and the role-plays to enhance AI systems and algorithms. Finally, the study shows a decrease in the number of researches done for this topic in the selected databases, which can be enhanced by other researchers by examining other databases to increase results accuracy.

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Text Mining and Analytics: A Case Study from News Channels Posts on Facebook

Cited by 55 publications

References 16 publications

Comparison of Voluntary versus Mandatory Vaccine Discussions in Online Health Communities: A Text Analytics Approach

Comparison of Voluntary versus Mandatory Vaccine Discussions in Online Health Communities: A Text Analytics Approach

Sentiment Analysis in English Texts

The Role of KM in Enhancing AI Algorithms and Systems

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