Model in Distress: Sentiment Analysis on French Synthetic Social Media

Excerpt

arXiv:2604.18226v2 Announce Type: replace Abstract: Automated analysis of customer feedback on social media is hindered by three challenges: the high cost of annotated training data, the scarcity of evaluation sets, especially in multilingual settings, and privacy concerns that prevent data sharing and reproducibility. We address these issues by developing a generalizable synthetic data generation pipeline applied to a case study on customer distress detection in French public transportation. Ou