With the advent of Internet, people actively express their opinions about products, services, events, political parties, etc., in social media, blogs, and website comments. The amount of research work on sentiment analysis is growing explosively. However, the majority of research efforts are devoted to English-language data, while a great share of information is available in other languages. We present a state-of-the-art review on multilingual sentiment analysis. More importantly, we compare our own implementation of existing approaches on common data. Precision observed in our experiments is typically lower than the one reported by the original authors, which we attribute to the lack of detail in the original presentation of those approaches. Thus, we compare the existing works by what they really offer to the reader, including whether they allow for accurate implementation and for reliable reproduction of the reported results.

中文翻译：

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多语言情感分析：最先进的技术和独立的技术比较。


随着互联网的出现，人们在社交媒体、博客和网站评论中积极表达对产品、服务、事件、政党等的看法。情感分析的研究工作量呈爆炸式增长。然而，大多数研究工作都集中在英语数据上，而大量信息则以其他语言提供。我们对多语言情感分析进行了最先进的评论。更重要的是，我们比较了我们自己对通用数据的现有方法的实现。我们的实验中观察到的精度通常低于原始作者报告的精度，我们将其归因于这些方法的原始演示中缺乏细节。因此，我们根据现有作品真正为读者提供的内容来比较它们，包括它们是否允许准确实施和可靠地再现所报告的结果。