A data science team at a media monitoring company is tasked with developing a feature that aggregates and analyzes tweets from various public figures to identify trends and thematic similarities over time. Their objective is to compute embeddings for these tweets that can accurately capture semantic similarities among them, enabling a deeper understanding of the topics and sentiments expressed. Given this context, which AWS tool would be most suited to efficiently and effectively accomplish this task?