BHAAV -印地语故事情感分析文本语料库
BHAAV- A Text Corpus for Emotion Analysis from Hindi Stories
摘要：
在本文中，我们介绍了第一个也是最大的印地语文本语料库，命名为BHAAV，这意味着印地语的情绪，分析情感，一个作家通过他的人物在一个故事中，由叙述者/读者感知。该语料库由20，304个句子组成，这些句子来自230个不同的短篇小说，跨越18个体裁，如灵感和神秘。每句话都被三位至少接受过十年印地语正规教育的印地语母语人士注释为五种情绪类别之一-愤怒，喜悦，悬念，悲伤和中性。我们还讨论了低资源语言，如印地语的注释中的挑战，并讨论了拟议的语料库的范围及其可能的用途。我们还提供了数据集的详细分析和训练强基线分类器报告其性能。
英文摘要：
In this paper, we introduce the first and largest Hindi text corpus, named BHAAV, which means emotions in Hindi, for analyzing emotions that a writer expresses through his characters in a story, as perceived by a narrator/reader. The corpus consists of 20,304 sentences collected from 230 different short stories spanning across 18 genres such as Inspirational and Mystery. Each sentence has been annotated into one of the five emotion categories - anger, joy, suspense, sad, and neutral, by three native Hindi speakers with at least ten years of formal education in Hindi. We also discuss challenges in the annotation of low resource languages such as Hindi, and discuss the scope of the proposed corpus along with its possible uses. We also provide a detailed analysis of the dataset and train strong baseline classifiers reporting their performances.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
