Emotion Classification in Low and Moderate Resource Languages

arXiv:2402.18424v1 Announce Type: cross
Abstract: It is important to be able to analyze the emotional state of people around the globe. There are 7100+ active languages spoken around the world and building emotion classification for each language is labor intensive. Particularly for low-resource and endangered languages, building emotion classification can be quite challenging. We present a cross-lingual emotion classifier, where we train an emotion classifier with resource-rich languages (i.e. \textit{English} in our work) and transfer the learning to low and …

abstract analyze arxiv building classification cs.ai cs.cl cs.lg emotion labor language languages low people spoken state type world