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VAD_binomial_regression_models

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 This repository contains three binomial regression models designed to predict VAD (Valence, Arousal, Dominance) scores for text inputs.
 Each model is stored as a separate pickle (.pkl) file:
-valence_model.pkl: Predicts the valence score (positivity/negativity).
-arousal_model.pkl: Predicts the arousal score (level of excitement or calm).
-dominance_model.pkl: Predicts the dominance score (sense of control or influence).
 All scores are normalized on a scale from 0 to 1.
 Before making predictions, input text must be converted into embeddings using the [Knesset-multi-e5-large](https://huggingface.co/GiliGold/Knesset-multi-e5-large) model. The embeddings are then fed into the regression models.

 This repository contains three binomial regression models designed to predict VAD (Valence, Arousal, Dominance) scores for text inputs.
 Each model is stored as a separate pickle (.pkl) file:
+- **valence_model.pkl**: Predicts the Valence score (positivity/negativity).
+- **arousal_model.pkl**: Predicts the Arousal score (level of excitement or calm).
+- **dominance_model.pkl**: Predicts the Dominance score (sense of control or influence).
 All scores are normalized on a scale from 0 to 1.
 Before making predictions, input text must be converted into embeddings using the [Knesset-multi-e5-large](https://huggingface.co/GiliGold/Knesset-multi-e5-large) model. The embeddings are then fed into the regression models.