Conversational Data

Conversational data analysis focuses on extracting meaningful insights from human-computer and human-human interactions, aiming to improve various applications like chatbots, recommender systems, and educational tools. Current research emphasizes developing methods for analyzing complex conversational structures, including identifying topics, emotions, and intents, often leveraging large language models (LLMs) and advanced techniques like graph-based methods and attention mechanisms to process and interpret this data. This field is crucial for advancing human-computer interaction, enabling the development of more effective and personalized AI systems, and providing valuable insights into human communication patterns across diverse contexts.