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Star Ratings versus Sentiment Analysis -- A Comparison of Explicit and Implicit Measures of Opinions

机译:星级评级与情感分析 - 明确和隐含意见措施的比较

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A typical trade-off in decision making is between the cost of acquiring information and the decline in decision quality caused by insufficient information. Consumers regularly face this trade-off in purchase decisions. Online product/service reviews serve as sources of product/service related information. Meanwhile, modern technology has led to an abundance of such content, which makes it prohibitively costly (if possible at all) to exhaust all available information. Consumers need to decide what subset of available information to use. Star ratings are excellent cues for this decision as they provide a quick indication of the tone of a review. However there are cases where such ratings are not available or detailed enough. Sentiment analysis -text analytic techniques that automatically detect the polarity of text- can help in these situations with more refined analysis. In this study, we compare sentiment analysis results with star ratings in three different domains to explore the promise of this technique.
机译:决策中的典型权衡是获取信息的成本和由信息不足造成的决策质量下降。消费者定期面临购买决策的这种权衡。在线产品/服务评论担任产品/服务相关信息的来源。与此同时,现代技术导致了丰富的这种内容,这使得这使得昂贵(如果可能的话)耗尽所有可用信息。消费者需要确定要使用的可用信息的子集。星级评分是这一决定的优秀提示,因为它们提供了快速指示审查的语调。然而,存在这种评级的情况下不可用或足够详细。情感分析 - 专题分析技术,可自动检测文本的极性 - 可以在这些情况下有助于更精细的分析。在这项研究中,我们将恒星评级与三个不同域中的明星评级进行比较,以探索这种技术的承诺。

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