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In this paper, we introduce the first and largest Hindi text corpus, namedBHAAV, which means emotions in Hindi, for analyzing emotions that a writerexpresses through his characters in a story, as perceived by a narrator/reader.The corpus consists of 20,304 sentences collected from 230 different shortstories spanning across 18 genres such as Inspirational and Mystery. Eachsentence has been annotated into one of the five emotion categories - anger,joy, suspense, sad, and neutral, by three native Hindi speakers with at leastten years of formal education in Hindi. We also discuss challenges in theannotation of low resource languages such as Hindi, and discuss the scope ofthe proposed corpus along with its possible uses. We also provide a detailedanalysis of the dataset and train strong baseline classifiers reporting theirperformances.

BHAAV- A Text Corpus for Emotion Analysis from Hindi Stories