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An off-the-rack NLP sentiment classifier- upload your own corpus or use the pre-installed ones
A standalone NLP sentiment classifier you can import as a module
cd
into repo, and pip install -r requirements.txt
from EmpathyMachines import EmpathyMachines
nlp_classifier = EmpathyMachines()
nlp_classifier.train(corpus='Twitter')
nlp_classifier.predict(text_string)
Feel free to train a classifier on your own corpus!
Two ways to do this:
Read in a .csv file with header row containing "sentiment", "text", and optionally, "confidence"
Pass in an array of Python dictionaries, with attributes for "sentiment", "text", and optionally, "confidence"
Create a .csv file with the following fields
nlp_classifier.train(corpus='custom', corpus_path='path/to/custom/corpus.csv', analytics_output=False)
FAQs
An off-the-rack NLP sentiment classifier- upload your own corpus or use the pre-installed ones
We found that empathy-machines demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
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