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Review of Online Sentiment Visualization Techniques |
Yang Sinan1, Xu Jian1(), Ye Pingping2 |
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.
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Received: 25 December 2017
Published: 20 June 2018
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