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SenseTrust: A Sentiment Based Trust Model in Social Network

Computer Engineering and Information Technology Department, Amirkabir University of Technology, Tehran 1591634311, Iran
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Academic Editor: Eduardo Álvarez-Miranda
J. Theor. Appl. Electron. Commer. Res. 2021, 16(6), 2031-2050; https://doi.org/10.3390/jtaer16060114
Received: 2 June 2021 / Accepted: 22 July 2021 / Published: 27 July 2021
(This article belongs to the Section e-Commerce Analytics)
Online social networks, as popular media and communications tools with their own extensive uses, play key roles in public opinion polls, politics, economy, and even governance. An important issue regarding these networks is the use of multiple sources of publishing or re-publishing news and propositions that can influence audiences depending on the level of trust in these sources between users. Therefore, estimating the level of trust in social networks between users can predict the extent of social networks’ impact on news and different publication and re-publication sources, and correspondingly provide effective strategies in news dissemination, advertisements, and other diverse contents for trustees. Therefore, trust is introduced and interpreted in the present study. A large portion of interactions in social networks is based on sending and receiving texts employing natural language processing techniques. A Hidden Markov Model (HMM) was designed via an efficient model, namely SenseTrust, to estimate the level of trust between users in social networks. View Full-Text
Keywords: social network; trust; sentiment analysis; recursive neural tensor network; hidden markov model social network; trust; sentiment analysis; recursive neural tensor network; hidden markov model
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MDPI and ACS Style

Mohammadi, A.; Hashemi Golpayegani, S.A. SenseTrust: A Sentiment Based Trust Model in Social Network. J. Theor. Appl. Electron. Commer. Res. 2021, 16, 2031-2050. https://doi.org/10.3390/jtaer16060114

AMA Style

Mohammadi A, Hashemi Golpayegani SA. SenseTrust: A Sentiment Based Trust Model in Social Network. Journal of Theoretical and Applied Electronic Commerce Research. 2021; 16(6):2031-2050. https://doi.org/10.3390/jtaer16060114

Chicago/Turabian Style

Mohammadi, Alireza, and Seyyed A. Hashemi Golpayegani 2021. "SenseTrust: A Sentiment Based Trust Model in Social Network" Journal of Theoretical and Applied Electronic Commerce Research 16, no. 6: 2031-2050. https://doi.org/10.3390/jtaer16060114

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