Nowadays, the omnipresence of the Internet has fostered a subculture that congregates around the contemporary milieu. The subculture artfully articulates the intricacies of human feelings by ardently pursuing the allure of novelty, a fact that cannot be disregarded in the sentiment analysis. This paper aims to enrich data through the lens of subculture, to address the insufficient training data faced by sentiment analysis. To this end, a new approach of subculture-based data augmentation (SCDA) is proposed, which engenders enhanced texts for each training text by leveraging the creation of specific subcultural expression generators. The extensive experiments attest to the effectiveness and potential of SCDA. The results also shed light on the phenomenon that disparate subcultural expressions elicit varying degrees of sentiment stimulation. Moreover, an intriguing conjecture arises, suggesting the linear reversibility of certain subcultural expressions.

中文翻译：

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情感分析需要亚文化吗？一种新的数据增强方法

如今，互联网的无所不在催生了一种聚集在当代环境中的亚文化。亚文化通过热切追求新奇的诱惑，巧妙地表达了人类情感的复杂性，这是情感分析中不可忽视的事实。本文旨在通过亚文化的视角丰富数据，解决情感分析面临的训练数据不足的问题。为此，提出了一种基于亚文化的数据增强（SCDA）的新方法，该方法通过利用特定亚文化表达生成器的创建为每个训练文本生成增强文本。大量的实验证明了 SCDA 的有效性和潜力。研究结果还揭示了不同的亚文化表达会引发不同程度的情绪刺激的现象。此外，出现了一个有趣的猜想，表明某些亚文化表达的线性可逆性。