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ZENODO
Dataset . 2019
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2019
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2019
License: CC BY
Data sources: Datacite
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BHAAV (भाव) - A Text Corpus for Emotion Analysis from Hindi Stories

Authors: Yaman kumar; Debanjan Mahata; Sagar aggarwal; Anmol Chugh; Rajat Maheshwari; Rajiv Ratn Shah;

BHAAV (भाव) - A Text Corpus for Emotion Analysis from Hindi Stories

Abstract

The first and largest Hindi text corpus, named BHAAV (भाव), 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 प्रेरणादायक (Inspirational) and रहस्यमयी (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.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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3
Average
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105
31