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.
Publié le : 2018-07-26
Classification:
Knowledge and Information Engineering; Text Mining; Sentiment Analysis,
Opinion analysis, emotion analysis, conversational content, conversation structure, authority identification,
68U15
@article{cai2018_3_737,
author = {Krist\'\i na Machov\'a; FEI, Technical University of Ko\v sice, Letn\'a 9, 042 00 Ko\v sice and Martin Mikula; FEI, Technical University of Ko\v sice, Letn\'a 9, 042 00 Ko\v sice and Martina Szab\'oov\'a; FEI, Technical University of Ko\v sice, Letn\'a 9, 042 00 Ko\v sice and Mari\'an Mach; FEI, Technical University of Ko\v sice, Letn\'a 9, 042 00 Ko\v sice},
title = {Sentiment and Authority Analysis in Conversational Content},
journal = {Computing and Informatics},
volume = {36},
number = {6},
year = {2018},
language = {en},
url = {http://dml.mathdoc.fr/item/cai2018_3_737}
}
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. Sentiment and Authority Analysis in Conversational Content. Computing and Informatics, Tome 36 (2018) no. 6, . http://gdmltest.u-ga.fr/item/cai2018_3_737/