Datasets:
Tasks:
Text Classification
Sub-tasks:
sentiment-classification
Languages:
English
Multilinguality:
monolingual
Size Categories:
1k<10K
ArXiv:
License:
Update README.md
Browse files
README.md
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@@ -98,5 +98,18 @@ For the random split, we recommend to train models on `random_train` with `rando
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### Citation Information
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```
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-
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```
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### Citation Information
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```
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@inproceedings{dimosthenis-etal-2022-twitter,
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title = "{T}witter {T}opic {C}lassification",
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author = "Antypas, Dimosthenis and
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Ushio, Asahi and
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Camacho-Collados, Jose and
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Neves, Leonardo and
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Silva, Vitor and
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Barbieri, Francesco",
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booktitle = "Proceedings of the 29th International Conference on Computational Linguistics",
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month = oct,
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year = "2022",
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address = "Gyeongju, Republic of Korea",
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publisher = "International Committee on Computational Linguistics"
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}
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```
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