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A Practical Guide to Sentiment Annotation: Challenges and Solutions

机译:情感注释实用指南:挑战与解决方案

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Sentences and tweets are often annotated for sentiment simply by asking respondents to label them as positive, negative, or neutral. This works well for simple expressions of sentiment; however, for many other types of sentences, respondents are unsure of how to annotate, and produce inconsistent labels. In this paper, we outline several types of sentences that are particularly challenging for manual sentiment annotation. Next we propose two annotation schemes that address these challenges, and list benefits and limitations for both.
机译:句子和推文通常只是通过要求受访者将其标记为正面,负面或中立的方式来标注。这对于简单表达情感非常有效;但是,对于许多其他类型的句子,受访者不确定如何注释和产生不一致的标签。在本文中,我们概述了几种类型的句子,这些句子对于手动情感注释特别具有挑战性。接下来,我们提出了两种注释方案来应对这些挑战,并列出两者的优点和局限性。

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