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.
Keywords
- Opinion analysis
- emotion analysis
- conversational content
- conversation structure
- authority identification
MSC
68U15
Cite this article
@article{cai-3104,
author = {Kristína Machová and Martin Mikula and Martina Szabóová and Marián Mach},
title = {Sentiment and Authority Analysis in Conversational Content},
journal = {Computing and Informatics},
volume = {37},
number = {3},
pages = {737--758},
year = {2018},
issn = {1335-9150},
doi = {10.4149/cai_2018_3_737}
}
TY - JOUR AU - Kristína Machová AU - Martin Mikula AU - Martina Szabóová AU - Marián Mach TI - Sentiment and Authority Analysis in Conversational Content JO - Computing and Informatics VL - 37 IS - 3 SP - 737 EP - 758 PY - 2018 SN - 1335-9150 DO - 10.4149/cai_2018_3_737 UR - https://doi.org/10.4149/cai_2018_3_737 KW - Opinion analysis KW - emotion analysis KW - conversational content KW - conversation structure KW - authority identification ER -
Machová, K., Mikula, M., Szabóová, M., & Mach, M. (2018). Sentiment and Authority Analysis in Conversational Content. Computing and Informatics, 37(3), 737–758. https://doi.org/10.4149/cai_2018_3_737