Sentiment Analysis for Online User Reviews Based on Tripartite Network

被引：0

作者：

Lu W. ^{[1
]}

Xu J. ^{[1
]}

机构：

[1] School of Information Management, Sun Yat-Sen University, Guangzhou

来源：

Data Analysis and Knowledge Discovery | 2019年 / 3卷 / 08期

关键词：

Network Users’ Comment; Sentiment Analysis; Tripartite Network;

D O I：

10.11925/infotech.2096-3467.2018.1030

中图分类号：

学科分类号：

摘要：

[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. © 2019 The Author(s).

引用

页码：10 / 20

页数：10

共 32 条

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