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Version: 2.0

ML Emotion

Video

What is ML emotion?

ML emotion is a multi-label model that returns the emotions expressed in a sentence or subsentence.

If you are looking for more about ML emotion check out our documentation 👨🏻‍💻

Importing the library & your personal API key

After you've installed the Lettria package on Python you'll need to import the library.

import lettria

Next you are going to need to include your personal API key which can be found via the Lettria platform in the dashboard.

api_key = 'your personal API key'
nlp = lettria.NLP(api_key)

Adding data

Next I am going to add data to be analyzed. You can also upload a saved document using the ‘with open’ command.

example_data = ‘example text’

Next add the data to the NLP.

nlp.add_document(example_data)

Extracting emotions

In order to extract the ml emotions from the sentences in your document use the following command:

ml_emotion = nlp.emotion_ml
print(ml_emotion)

In the return you will have and emotion and value. The “value” is always 1, since it's float value is not relevant on this task

There are 28 emotions available on return of the ML emotion tool. To see the complete list you can view our documentation.

Saving your results

In order to save your results you can use the following command.

nlp.save_results(‘example_results')

And a json file with your results that can be used for further analysis will be saved.

Code set

import lettria

api_key = 'your personal API key'
nlp = lettria.NLP(api_key)

example_data = ‘example text’

nlp.add_document(example_data)

ml_emotion = nlp.emotion_ml
print(ml_emotion)

nlp.save_results(‘example_results')