Method of Evaluation of Social Network User Sentiments Based on Fuzzy Logic; Key Engineering Materials; Vol. 685 : High Technology: Research and Applications 2015 (HTRA 2015)

Manylion Llyfryddiaeth
Parent link:Key Engineering Materials: Scientific Journal
Vol. 685 : High Technology: Research and Applications 2015 (HTRA 2015).— 2016.— [P. 847-851]
Awdur Corfforaethol: Национальный исследовательский Томский политехнический университет (ТПУ) Институт кибернетики (ИК) Кафедра автоматики и компьютерных систем (АИКС)
Awduron Eraill: Luneva E. E. Elena Evgenievna, Banokin P. I. Pavel Ivanovich, Efremov A. A. Aleksandr Aleksandrovich, Tiropanis T.
Crynodeb:Title screen
The article introduces a method of online social network users’ sentiment evaluation. The advantage of the proposed method consists in its ability to take into account user’s influence as well as the fact that a user could be an author of several messages. Results presented in this paper have been used in the past in mechanical engineering to analyze reviews on products as well as in robotics for developing user communication interfaces. The paper shows the steps of calculation of the sentiment of messages on a certain topic in online social networks. The proposed method is deployed with a view of developing analytic tools and visualizations that make use of more than one such datasets in Web Observatories.
Режим доступа: по договору с организацией-держателем ресурса
Iaith:Saesneg
Cyhoeddwyd: 2016
Cyfres:Information Technology, Data and Signal Processing
Pynciau:
Mynediad Ar-lein:http://dx.doi.org/10.4028/www.scientific.net/KEM.685.847
Fformat: Electronig Pennod Llyfr
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=646553

MARC

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330 |a The article introduces a method of online social network users’ sentiment evaluation. The advantage of the proposed method consists in its ability to take into account user’s influence as well as the fact that a user could be an author of several messages. Results presented in this paper have been used in the past in mechanical engineering to analyze reviews on products as well as in robotics for developing user communication interfaces. The paper shows the steps of calculation of the sentiment of messages on a certain topic in online social networks. The proposed method is deployed with a view of developing analytic tools and visualizations that make use of more than one such datasets in Web Observatories. 
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