[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.
卢伟聪,徐健. 基于三分网络的网络用户评论情感分析 *[J]. 数据分析与知识发现, 2019, 3(8): 10-20.
Weicong Lu,Jian Xu. Sentiment Analysis for Online User Reviews Based on Tripartite Network. Data Analysis and Knowledge Discovery, 2019, 3(8): 10-20.
( Zhang Hongli, Liu Jiying, Yang Sinan , et al. Predicting Online Users’ Ratings with Comments[J]. Data Analysis and Knowledge Discovery, 2017,1(8):48-58.)
( Liang Xiaomin, Xu Jian . Sentiment Analysis of Objects in Public Opinion Events and Their Relation Network Research[J]. Information Science, 2018,36(2):37-42.)
( Li Xu, Yu Weihong . Text Mining of Comment Dada on Video Electronic Product Based on Sentiment Analysis and Relational Network[J]. Information Research, 2018(4):1-5.)
( Wang Wei, Wang Hongwei . Comparative Network for Product Competition in Feature-Levels Through Sentiment Analysis[J]. Journal of Management Sciences in China, 2016,19(9):109-126.)
( Yang Jie, Li Jiyun, Jiang Linlin . Predicting Personality of Social Network Users Based on Sentiment Analysis and Network Analysis[J]. Intelligent Computer and Applications, 2016,6(1):50-54.)
[7]
Thirumalai D . Sentimental Bi-Partite Graph of Political Blogs[D]. Phoenix: Arizona State University, 2012.
( Wang Zhihao, Wang Zhongqing, Li Shoushan , et al. Feature Selection Method for Semi-Supervised Sentiment Classification[J]. Journal of Chinese Information Processing, 2013,27(6):96-102.)
( Yang Yuan, Ma Yunlong, Lin Hongfei . Clustering Product Features in Opinion Mining[J]. Journal of Chinese Information Processing, 2012,26(3):104-108.)
( Lu Weicong, Xu Jian . Sentiment Analysis of Network Users’ Reviews Based on Bipartite Network[J]. Information Studies:Theory & Application, 2018,41(2):121-126.)
[11]
Fararo T J, Doreian P . Tripartite Structural Analysis: Generalizing the Breiger-Wilson Formalism[J]. Social Networks, 1984,6(2):141-175.
( Xu Ming, Wu Jianping, Du Yiman , et al. A Method of Key Node Ranking for Road Network Based on Tripartite Graph[J]. Journal of Beijing University of Posts and Telecommunications, 2014,37(S1):51-54.)
( Wang Daoping, Zhou Danyun, Li Xiuya . Study on Knowledge Push Method Based on Tripartite Graphs Random Walk with Restart[J]. Journal of Intelligence, 2013,32(9):185-189.)
( Xiao Yang, Wang Daoping, Yang Cen . Study on Knowledge Recommendation Algorithm Based on Tripartite Graphs Network Structure[J]. Application Research of Computers, 2015,32(2):386-390.)
( Li Gui, Wang Shuang, Li Zhengyu , et al. Folksonomy Tag Recommendation Algorithm Based on a Time-weighted Tripartite Graph[J]. Journal of Chinese Computer Systems, 2016,37(2):269-274.)
( Hu Jiming, Lin Xin . Design and Implementation of Social Recommendation Algorithm Based on User-Object-Topic Tripartite Graph[J]. Information Studies: Theory & Application, 2016,39(3):130-134.)
( Liao Zhifang, Li Ling, Liu Limin , et al. A Tripartite Decomposition of Tensor for Social Tagging[J]. Chinese Journal of Computers, 2012,35(12):2625-2632.)
( Chen Chao, Zhang Yingchao, Miao Jin . A Collaborative Filtering Recommender Algorithm Based on Tripartite Network[J]. Journal of Nanjing University of Information Science & Technology: Natural Science Edition, 2010,2(4):337-339.)
[19]
Nazir F, Takeda H . Extraction and Analysis of Tripartite Relationships from Wikipedia [C]// Proceedings of the 2008 IEEE International Symposium on Technology and Society. IEEE, 2008: 1-13.
[20]
Murata T . Detecting Communities from Tripartite Networks [C]// Proceedings of the 19th International Conference on World Wide Web. ACM, 2010: 1159-1160.
[21]
Lu C, Chen X, Park E K . Exploit the Tripartite Network of Social Tagging for Web Clustering [C]// Proceedings of the 18th ACM Conference on Information and Knowledge Management. ACM, 2009: 1545-1548.
[22]
Lambiotte R, Ausloos M . Collaborative Tagging as a Tripartite Network [C]// Proceedings of the 6th International Conference on Computational Science. Springer, 2006: 1114-1117.
( Meng Jiana, Yu Yuhai, Zhao Dandan , et al. Cross-domain Sentiment Analysis Based on Combination of Feature and Instance-transfer[J]. Journal of Chinese Information Processing, 2015,29(4):74-79, 143.)
[24]
Wu Q, Tan S, Zhai H , et al. SentiRank: Cross-Domain Graph Ranking for Sentiment Classification [C]// Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology. IEEE, 2009,1:309-314.
[25]
Zhu L, Galstyan A, Cheng J , et al. Tripartite Graph Clustering for Dynamic Sentiment Analysis on Social Media [C]// Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data. ACM, 2014: 1531-1542.
( Ou Ruiqiu, Yang Jianmei, Chang Jing . Community Structure Analysis of Firm-product Bipartite Network: A Case Study on China’s Automobile Industry[J]. Chinese Journal of Management, 2010,7(9):1403-1409.)
( Yang Liang, Lin Yuan, Lin Hongfei . Micro-Blog Hot Events Detection Based on Emotion Distribution[J]. Journal of Chinese Information Processing, 2012,26(1):84-91.)
( Shi Wei, Wang Hongwei, He Shaoyi . Sentiment Analysis of Chinese Online Reviews Based on Semantics[J]. Journal of the China Society for Scientific and Technical Information, 2013,32(8):860-867.)
( Xu Linhong, Lin Hongfei, Pan Yu , et al. Constructing the Affective Lexicon Ontology[J]. Journal of the China Society for Scientific and Technical Information, 2008,27(2):180-185.)
doi: 10.3969/j.issn.1000-0135.2008.02.004
[31]
Blondel V D, Guillaume J L, Lambiotte R , et al. Fast Unfolding of Communities in Large Networks[J]. Journal of Statistical Mechanics: Theory and Experiment, 2008(10):155-168.
[32]
Mukherjee A, Choudhury M, Peruani F , et al. Dynamics on and of Complex Networks, Volume 2[M]. Springer New York, 2013.