MilaNLProc
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xlm-emo-t

Text Classification

emotion-analysis

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vinid commited on Apr 21, 2022

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@@ -32,7 +32,7 @@ This model had an F1 of 0.85 on the test set.
 Please use the following bibtex entry if you use this model in your project:
 ```
 @inproceedings{bianchi2021feel,
-    title = {{"XLM-EMO: Multilingual Emotion Prediction in Social Media Text"}},
     author = "Bianchi, Federico and Nozza, Debora and Hovy, Dirk",
     booktitle = "Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis",
     year = "2022",

 Please use the following bibtex entry if you use this model in your project:
 ```
 @inproceedings{bianchi2021feel,
+    title = "{XLM-EMO: Multilingual Emotion Prediction in Social Media Text}",
     author = "Bianchi, Federico and Nozza, Debora and Hovy, Dirk",
     booktitle = "Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis",
     year = "2022",