# Neural Integrated Capability
# Created: 2025-10-25 01:23:03.770745

class EmotionComprehensionAI:
    def __init__(self):
        self.emotion_model = {} # Initialize an empty model to store emotions associated with different triggers
    
    def analyze_text(self, text):
        """
        Analyze the provided text and determine the underlying emotion conveyed in it. 
        This method will use natural language processing techniques to identify the emotional content of the text.
        Returns a string representing the identified emotion.
        """
        # Pseudocode for analyzing text: this would be replaced with an actual implementation using NLP libraries or services
        return self.emotion_model.get('text', 'neutral') 
    
    def analyze_voice_tone(self, voice_data):
        """
        Analyze the provided voice data and determine the underlying emotion conveyed in it. 
        This method will use speech processing techniques to identify the emotional content of the tone.
        Returns a string representing the identified emotion.
        """
        # Pseudocode for analyzing voice_tone: this would be replaced with an actual implementation using speech processing libraries or services
        return self#1