Accurate negation identification is one of the most important tasks in the context of sentiment analysis. In order to correctly interpret the sentiment value of a particular expression, we need to identify whether it is in the scope of negation. While much of the work on negation detection has focused on English, we have seen recent developments that provide accurate identification of negation in other languages. In this paper, we provide an overview of negation detection systems and describe an implementation of a Spanish system for negation cue detection and scope identification. We apply this system to the sentiment analysis task, confirming also for Spanish that improvements can be gained from accurate negation detection. The paper contributes an implementation of negation detection for sentiment analysis in Spanish and a detailed error analysis. This is the first work in Spanish in which a machine learning negation processing system is applied to the sentiment analysis task. Existing methods have used negation rules that have not been assessed, perhaps because the first Spanish corpus annotated with negation for sentiment analysis has only recently become available.

中文翻译：

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情绪分析的否定检测：西班牙语案例研究

准确的否定识别是情感分析中最重要的任务之一。为了正确解释特定表达的情感值，我们需要识别它是否在否定范围内。虽然否定检测的大部分工作都集中在英语上，但我们已经看到了最近的发展，可以准确识别其他语言的否定。在本文中，我们提供了否定检测系统的概述，并描述了用于否定提示检测和范围识别的西班牙系统的实现。我们将该系统应用于情绪分析任务，同时也证实了西班牙语可以从准确的否定检测中获得改进。本文提供了用于西班牙语情感分析的否定检测的实现和详细的错误分析。这是第一部将机器学习否定处理系统应用于情感分析任务的西班牙语作品。现有方法使用了尚未评估的否定规则，这可能是因为第一个用否定注释进行情感分析的西班牙语料库最近才可用。