XLM-EMO: Multilingual Emotion Prediction in Social Media Text
Detecting emotion in text allows social and computational scientists to study how people behave and react to online events. However, developing these tools for different languages requires data that is not always available. This paper collects the available emotion detection datasets across 19 languages. We train a multilingual emotion prediction model for social media data, XLM-EMO. The model shows competitive performance in a zero-shot setting, suggesting it is helpful in the context of low-resource languages. We release our model to the community so that interested researchers can directly use it.
Code (1)
Tasks
PredictionSimilar Papers 제목 키워드 기반
Visual Affect Around the World: A Large-scale Multilingual Visual Sentiment Ontology
Every culture and language is unique. Our work expressly focuses on the uniqueness of culture and language in relation to human affect, specifically sentiment and emotion semantics, and how they manifest in social multim…
Cultural Vocal Bursts Intensity PredictionCorpus Creation and Emotion Prediction for Hindi-English Code-Mixed Social Media Text
Emotion Prediction is a Natural Language Processing (NLP) task dealing with detection and classification of emotions in various monolingual and bilingual texts. While some work has been done on code-mixed social media te…
General ClassificationThe Challenges of Multi-dimensional Sentiment Analysis Across Languages
This paper outlines a pilot study on multi-dimensional and multilingual sentiment analysis of social media content. We use parallel corpora of movie subtitles as a proxy for colloquial language in social media channels a…
Sentiment AnalysisTranslationJNLP at SemEval-2025 Task 11: Cross-Lingual Multi-Label Emotion Detection Using Generative Models
With the rapid advancement of global digitalization, users from different countries increasingly rely on social media for information exchange. In this context, multilingual multi-label emotion detection has emerged as a…
Emotion RecognitionMulti-Label ClassificationMUlTI-LABEL-ClASSIFICATIONMultilingual and Multimodal Abuse Detection
The presence of abusive content on social media platforms is undesirable as it severely impedes healthy and safe social media interactions. While automatic abuse detection has been widely explored in textual domain, audi…
Abuse Detection