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CSMSA

Dataset for COLING 2022 "Towards Exploiting Sticker for Multimodal Sentiment Analysis in Social Media: A New Dataset and Baseline"

Currently, we only offer downloads with labeled data. The unlabeled data will be released soon.

How to get the dataset

Download link

Sign the copyright announcement with your name and organization and mail to [email protected] with the copyright announcement attachment.
Then complete the form online(https://forms.gle/UaU7DG25DmZBSjBH6), and we will provide access rights when approved.

Copyright

The original copyright of all the conversations belongs to the source owner. The copyright of the annotations belongs to our group, and they are free to the public. The dataset is only for research purposes. Without permission, it may not be used for any commercial purposes or distributed to others.

What's in the dataset

stickers_labeled: stores all the stickers in the labeled dataset.

CSMSA_labeled: stores the labeled dataset.

Data Sample

Json Key Name	Description
text	input text
image	image name in `stickers`
multimodal_label	the sentiment of the text and image. 0 indicates Neutral, 1 indicates Postive, 2 indicates Negative
text_label	the sentiment of the text
image_label	the sentiment of the sticker
img_helps_text	0 indicates no, 1 indicates yes
sticker_group	the series number of the sticker

Citation

@inproceedings{ge-etal-2022-towards,
    title = "Towards Exploiting Sticker for Multimodal Sentiment Analysis in Social Media: A New Dataset and Baseline",
    author = "Ge, Feng  and  Li, Weizhao  and  Ren, Haopeng  and  Cai, Yi",
    booktitle = "Proceedings of the 29th International Conference on Computational Linguistics",
    month = oct,
    year = "2022",
    address = "Gyeongju, Republic of Korea",
    publisher = "International Committee on Computational Linguistics",
    url = "https://aclanthology.org/2022.coling-1.591",
    pages = "6795--6804",
}

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