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Speeding up processing #8

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Jonesn11 opened this issue Oct 22, 2020 · 0 comments

Jonesn11 commented Oct 22, 2020 •

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I have a dataframe with 230000 rows and when I apply the empath lexicon it s taking a while to process.
What is the best way to speed it up?

The main operation I have looks like:

from empath import Empath
emp = Empath()
analyze = lru_cache(maxsize=50000)(emp.analyze)
all_posts['empath'] = all_posts.content.apply(lambda x: list(analyze(' '.join(x)).values()))

Where all_posts.content is a series of token lists

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