基于情感的高价值评论分析

Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services Pub Date : 2019-12-02 DOI:10.1145/3366030.3366038

Rinji Suzuki, Kazuhiro Akiyama, T. Kumamoto, Akiyo Nadamoto

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引用次数: 0

摘要

当人们在网上购物时，他们通常会参考关于产品的评论。他们可以通过阅读评论更深入地了解产品。评论有一个星级，显示了其他人对产品的看法。星级评级并不总是适用于产品的评价。评论太多了，很难找到影响用户购买意愿的评论。我们称这种审查为“高价值审查”。我们提出的高价值评价并不取决于星级评价的数量。高价值评论是指人们在阅读评论时发现了有用的信息，并认为这是一篇好评论。本文在四个假设的基础上，研究了高价值评论与其子句情感之间的关系。我们的分析情绪是三个轴，即积极/消极/中性。最后，我们从调查结果中提取出高价值评论的特征。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Analysis of High-value Reviews based on Sentiment

When people use online shopping, they often refer reviews which are written about the products. They can understand the product more deeply by reading the reviews. The review has a star rating that shows what other people think about the product. The star rating is not always appropriate for the evaluation of the product. There are so many reviews and it is difficult to find the review that affects the users' willingness to buy. We call such review "high-value review". Our proposed high-value review does not depend on the number of star ratings. The high-value review is that people find useful information when they read the review and they think it is a good review. In this paper, we investigate the relation between high-value reviews and their sentiment of clause based on four hypotheses. Our analyzing sentiment is three-axis which are positive/negative/neutral. Finally, we extract the characteristics of high-value reviews from the results of our investigate.

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Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services

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