automatic-narratives 0.0.6

This package lets one infer agency and communion codes from life narratives based on RoBERTa transformer embeddings.

Automatic Narratives

Automatic Narratives is a Python module for predicting agency or communion codes from natural language text using transformer-based embeddings (RoBERTa) and ridge regression.

Features

• Uses roberta-base to generate contextual embeddings
• Predicts codes for either agency or communion using pretrained ridge regression models
• Fully compatible with scikit-learn pipelines

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Installation

Clone the repository and install dependencies:

from automatic_narratives import AutomaticNarratives
import pandas as pd

# Example texts
texts = pd.Series([
    "She took charge of the situation and led the team with confidence.",
    "He cared deeply for others and always made time to listen."
])

# Choose device: "cpu" or "cuda" (if available)
device = "cpu"

# Initialize predictor for agency
agency_predictor = AutomaticNarratives(rating_domain="agency", device=device)

# Predict agency scores
agency_scores = agency_predictor.predict(texts)