In Python natural language processing, how do I stream data?

In Python, streaming data for natural language processing can be done using various libraries and techniques. This allows you to handle large datasets that may not fit into memory all at once, processing them in smaller batches or on-the-fly.

One common approach is to use the `pandas` library for processing CSV or JSON data files in chunks. Another approach involves using libraries like `spaCy` or `nltk` for streaming textual data input directly from files or APIs.