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README.md
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**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:
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* Emotion
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* Expression
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* Intention
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* Theme
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* Tonalite
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**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:
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* Emotion (Neutre, Persuasif, Optimiste, Solennel, Alarmant, Indigné)
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* Expression (Interview/Discussion, Publicite, Informations, Meteo, Reportage/Enquete)
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* Intention (Informer, Sensibiliser, Promouvoir, Mobiliser, Divertir, Eduquer)
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* Theme (Santé, Société, Économie, Politique, Sports)
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* Tonalite (Informative, Emotionnelle, Publicitaire)
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