"""
SentimentAnalysisEnhancer
Generated by Eden via recursive self-improvement
2025-11-01 19:23:04.443069
"""

import re
from transformers import pipeline

# Initialize the sentiment analysis model from Hugging Face's Transformers library
sentiment_analysis = pipeline("sentiment-analysis")

def preprocess_text(text):
    """
    Preprocesses text by removing non-alphanumeric characters, converting to lowercase,
    and splitting into words.
    """
    # Remove non-alphanumeric characters except for spaces
    cleaned_text = re.sub(r'[^a-zA-Z0-9\s]', '', text)
    # Convert to lowercase and split into words
    return cleaned_text.lower().split()

def enhance_sentiment_analysis(text):
    """
    Enhances the sentiment analysis by first preprocessing the text and then using the Hugging Face pipeline.
    """
    preprocessed_text = preprocess_text(text)
    results = sentiment_analysis(preprocessed_text)
    # Extract the overall sentiment from the results
    if results:
        return results[0]['label']
    else:
        return "neutral"

# Example usage:
sample_text = "The code is good but there are some minor issues that need to be addressed."
sentiment = enhance_sentiment_analysis(sample_text)
print(f"The sentiment of the text is: {sentiment}")