empathy-machines

empathyMachines

A standalone NLP sentiment classifier you can import as a module

Purposes

• Offer a batteries-included NLP classifier you can use either on it's own, or to make sentiment predictions as part of a broder NLP project (for example, when classifying customer messages, whether the customer is angry or not might help you determine if this is a compensation request, or a request to adjust their address.)
• Have the entire sentiment prediction process scaffolded so you can feed in your own training corpus, and easily train an NLP sentiment classifier.

How to use

• Download the repo from GitHub (pip install coming later)
• cd into repo, and pip install -r requirements.txt
• In your Python code, from EmpathyMachines import EmpathyMachines
• nlp_classifier = EmpathyMachines()
• nlp_classifier.train(corpus='Twitter')
• nlp_classifier.predict(text_string)

Corpora included

Include your own corpus (UNDER CONSTRUCTION)

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)