Model in Distress: Sentiment Analysis on French Synthetic Social Media (2026.findings-acl)
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Pierre-Carl Langlais, Pavel Chizhov, Yannick Detrois, Carlos Rosas Hinostroza, Ivan P. Yamshchikov, Bastien Perroy
| Challenge: | Large companies and services handle a substantial volume of reviews and social media mentions. |
| Approach: | They propose a generalizable pipeline for automated customer feedback analysis using backtranslation and fine-tuned models to generate 1.7 million tweets from a small seed corpus, complemented by synthetic reasoning traces. |
| Outcome: | The proposed pipeline generates 1.7 million synthetic tweets from a small seed corpus, complemented by synthetic reasoning traces. |
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