The rise of conversational AI is revolutionizing how we interact with technology and each other. Natural language processing (NLP) and machine learning (ML) are playing a crucial role in developing AI chatbots and virtual assistants that can engage in natural conversations. These AI systems are finding applications in various industries, including customer service, healthcare, and education. With the rapid advancements in AI, we can expect significant progress in this field in the coming years.

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Methodology

This trend analysis is generated using traditional machine learning techniques:

• TF-IDF Vectorization: Extract important terms from news articles
• Non-negative Matrix Factorization (NMF): Identify latent topics
• K-Means Clustering: Group similar articles
• Temporal Analysis: Track keyword trends over time

Analysis based on 700 articles from recent news cycles.