Question about splitting doc into multiple docs

Nobody has claimed this yet.

As I understand it, passing multiple documents into KeyBERT is faster than iterating over documents while passing only one of them because each word gets embedded only once in the former approach. Does that mean that one should also see some performance benefits from splitting one huge document into multiple documents?
To provide an example, my intuition tells me the second option here should be faster. But from my tests it isn't. Shouldn't it be?
```python
# first
kw_model = KeyBERT()
kw_model.extract_keywords(doc)

# second
kw_model = KeyBERT()

docs = split_the_doc_somehow(doc)
kw_model.extract(docs)
```

The issue names no repository files or tests. Start by reproducing the two KeyBERT examples with a controlled document and compare their timing; document the reason for any difference and clarify when passing multiple documents provides a performance benefit.

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