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Data Analysis and Knowledge Discovery  2019, Vol. 3 Issue (8): 10-20    DOI: 10.11925/infotech.2096-3467.2018.1030
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Sentiment Analysis for Online User Reviews Based on Tripartite Network
Weicong Lu,Jian Xu()
School of Information Management, Sun Yat-Sen University, Guangzhou 510006, China
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Abstract  

[Objective] The paper proposes a tripartite network sentiment analysis method, aiming to reflect the indirect connections between nodes. [Methods] We constructed a “user-product-sentiment tag” tripartite network, which were split into three bipartite networks for network structure analysis. Then, we used the proposed tripartite network projection method to obtain the “two-sentiment one-mode” network of users and products. [Results] We obtained the association of high-weighted related nodes from NetEase Cloud music dataset, and information such as genre classifications, hot-rated songs, and fan groups. [Limitations] The large number of user nodes need to be visualized in the future. [Conclusions] Based on the formation, splitting and projection of the sentiment tripartite network, we present the indirect connection between nodes, and provide new perspectives for network sentiment analysis.

Key wordsTripartite Network      Sentiment Analysis      Network Users’ Comment     
Received: 17 September 2018      Published: 29 September 2019
ZTFLH:  TP393 G35  
Corresponding Authors: Jian Xu     E-mail: issxj@mail.sysu.edu.cn

Cite this article:

Weicong Lu,Jian Xu. Sentiment Analysis for Online User Reviews Based on Tripartite Network. Data Analysis and Knowledge Discovery, 2019, 3(8): 10-20.

URL:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.2096-3467.2018.1030     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2019/V3/I8/10

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