Filter Emotion

Returns a list of sentences from the polarity ans sentence or subsentence specified. In order to filter out the emotions of sentences or subsentences in a document you can use the filter emotion tool with Lettria.

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)

Now you will need to open your saved document. Be sure to add the name of

‘your file’ since it may differ from the name of my example file.

with open("example.txt", "r") as f:
	example_data = f.readlines()

Next add the document to the NLP.

nlp.add_document(example_data)

In order to filter out the emotions from the document use the following command:

filter_emotion = nlp.filter_emotion
filter_emotion(emotions='surprise', granularity='sentence')

In the results you will have filtered sentences of the specified emotion and granularity.

You can further analyze the emotions of your document with 'joy', 'love', 'surprise', 'anger', 'sadness', 'fear’, 'neutral' and ‘disgust’. You can also filter at a subsentence level

filter_emotion(emotions=‘disgust’, granularity=‘subsentence')

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.

import lettria

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

with open("example.txt", "r") as f:
	example_data = f.readlines()

nlp.add_document(example_data)

filter_emotion = nlp.filter_emotion
filter_emotion(emotions='surprise', granularity='sentence')

filter_emotion(emotions=‘disgust’, granularity=‘subsentence')

nlp.save_results(‘example_results')