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Data Analysis and Knowledge Discovery  2018, Vol. 2 Issue (5): 77-87    DOI: 10.11925/infotech.2096-3467.2017.1316
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Review of Online Sentiment Visualization Techniques
Sinan Yang1,Jian Xu1(),Pingping Ye2
1 School of Information Management, Sun Yat-Sen University, Guangzhou 510006, China
2 Shenzhen LEXIN Holdings Limited, Shenzhen 518000, China
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Abstract  

[Objective] The paper reviews the main techniques for sentiment analysis of online reviews, and then discusses their major development trends. [Methods] First, we surveyed relevant scientific literature on sentiment analysis of web reviews published in recent years. Then, we summarized the characteristics of visualization methods and analyzed features of visualization tools. [Results] We could visualize the sentiment of web reviews from the perspectives of contents, space-time, and topics. The visualization tools include static, interactive and programming ones. [Conclusions] This paper reviews the major methods and tools for online contents visualization and indicates three major development trends. It could promote the progress of future research and new visualization tools.

Key wordsSentiment Visualization      Sentiment Analysis      Visualization Tools     
Received: 25 December 2017      Published: 20 June 2018

Cite this article:

Sinan Yang,Jian Xu,Pingping Ye. Review of Online Sentiment Visualization Techniques. Data Analysis and Knowledge Discovery, 2018, 2(5): 77-87.

URL:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.2096-3467.2017.1316     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2018/V2/I5/77

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