| **transcript-text-analysis** is an encoder model specialized for the classification of French news transcripts. The model is based on debertav3 and has been trained on 1,018 examples of annotated transcripts. |
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| Given a text, transcript-text-analysis will generate the following classifications in French: |
| * Emotion (Neutre, Persuasif, Optimiste, Solennel, Alarmant, Indigné) |
| * Expression (Interview/Discussion, Publicite, Informations, Meteo, Reportage/Enquete) |
| * Intention (Informer, Sensibiliser, Promouvoir, Mobiliser, Divertir, Eduquer) |
| * Theme (Santé, Société, Économie, Politique, Sports) |
| * Tonalite (Informative, Emotionnelle, Publicitaire) |
