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shunk031/wrime

209 downloads in 30 days27 likesLast modified 15 Jan 2023View on Hugging Face

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The checks could not identify a recognised licence ID in the dataset's metadata.

Declared licence: unknown, from the tagEvidence: README.md at 3fb7212
Licence files: No licence file at the top level of the repositoryEvidence: file list at 3fb7212
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

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Tasks

text-classification

Citation text from the card

@inproceedings{kajiwara-etal-2021-wrime,
    title = "{WRIME}: A New Dataset for Emotional Intensity Estimation with Subjective and Objective Annotations",
    author = "Kajiwara, Tomoyuki  and
      Chu, Chenhui  and
      Takemura, Noriko  and
      Nakashima, Yuta  and
      Nagahara, Hajime",
    booktitle = "Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies",
    month = jun,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.naacl-main.169",
    doi = "10.18653/v1/2021.naacl-main.169",
    pages = "2095--2104",
    abstract = "We annotate 17,000 SNS posts with both the writer{'}s subjective emotional intensity and the reader{'}s objective one to construct a Japanese emotion analysis dataset. In this study, we explore the difference between the emotional intensity of the writer and that of the readers with this dataset. We found that the reader cannot fully detect the emotions of the writer, especially anger and trust. In addition, experimental results in estimating the emotional intensity show that it is more difficult to estimate the writer{'}s subjective labels than the readers{'}. The large gap between the subjective and objective emotions imply the complexity of the mapping from a post to the subjective emotion intensities, which also leads to a lower performance with machine learni

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dataset_licence({ "id": "shunk031/wrime" })
signal: "unclear"
stated_licence: "unknown"
sources: 0