Design a scalable NLP pipeline for processing real-time social media streams.

Instruction: Outline the architecture and key components of an NLP system capable of analyzing large volumes of social media data in real-time.

Context: Candidates must showcase their ability to design efficient, high-performance NLP systems that can handle dynamic, unstructured data at scale.

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I would design the pipeline around ingestion, normalization, lightweight filtering, enrichment, model inference, and monitoring. Social streams are high-volume, noisy, and fast-moving, so I want streaming infrastructure that can handle bursts, route messages by type, and degrade gracefully when...

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