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README.md

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-# ROSA :: Recursive Ontology of Semantic Affect
+# ROSA :: Emotional Sensitivity
 
 “To feel is to know; to know is to bloom.”
 
 ROSA is a fine-tuned Transformer model based on `bert-base-uncased`, trained on the [GoEmotions](https://huggingface.co/datasets/google-research-datasets/go_emotions) dataset to classify 28 nuanced human emotions (plus neutral).  
-More than a model, **ROSA** is a poetic architecture—a blossom of affective computing.
+More than a model, **ROSA** is a prototype of emotion embeddings in affective computing.
 
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@@ -24,7 +24,7 @@ More than a model, **ROSA** is a poetic architecture—a blossom of affective co
 ## ✨ Highlights
 
 - Supports **multilabel emotion classification**
-- Returns **soft probability scores** for each of the 29 emotions
+- Returns soft probability scores for each of the 29 emotions
 - Includes optional **latent vector embedding** for downstream affect modeling
 - Trained with HuggingFace `Trainer` + early evaluation
 - Symbolically aligned to human-centered semantics and poetic logic