Sentiment and Authority Analysis in Conversational Content

Authors

  • Kristína Machová FEI, Technical University of Košice, Letná 9, 042 00 Košice
  • Martin Mikula FEI, Technical University of Košice, Letná 9, 042 00 Košice
  • Martina Szabóová FEI, Technical University of Košice, Letná 9, 042 00 Košice
  • Marián Mach FEI, Technical University of Košice, Letná 9, 042 00 Košice

Keywords:

Opinion analysis, emotion analysis, conversational content, conversation structure, authority identification

Abstract

This paper deals with mining conversational content from the social media. It focused on two issues: opinion and emotion classification and identification of authoritative reviewers. The paper also describes applications representing the results obtained in the given areas. Authority identification can be used by organizations to search for experts in their specific areas to employ them. The opinion and emotion analysis can be useful for providing decision-making support.

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Author Biographies

Kristína Machová, FEI, Technical University of Košice, Letná 9, 042 00 Košice

Department of Cybernetics and Artificial Intelligence, associate profesor

Martin Mikula, FEI, Technical University of Košice, Letná 9, 042 00 Košice

Department of Cybernetics and Artificial Intelligence, PhD student

Martina Szabóová, FEI, Technical University of Košice, Letná 9, 042 00 Košice

Department of Cybernetics and Artificial Intelligence, PhD student

Marián Mach, FEI, Technical University of Košice, Letná 9, 042 00 Košice

Department of Cybernetics and Artificial Intelligence, associate profesor

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Published

2018-07-26

How to Cite

Machová, K., Mikula, M., Szabóová, M., & Mach, M. (2018). Sentiment and Authority Analysis in Conversational Content. Computing and Informatics, 37(3), 737–758. Retrieved from http://147.213.75.17/ojs/index.php/cai/article/view/2018_3_737

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