List Entities

List entities allows us to identify the most relevant semantic units because they are anchored in reality: person, place, date, purpose...all the tags identify not just actors but also landmarks. They are essential in the process of reading and understanding a text.

In order to quickly extract the list entities from your document you can use the list_enitites tool from 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()

Add the document to the NLP.

nlp.add_document(example_data)

In order to extract the list entities from the document use the following command:

list_entities = nlp.list_entities
list_entities()

In the results you will have a list of entities with the corresponding words found in the document.

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)

list_entities = nlp.list_entities
list_entities()

nlp.save_results(‘example_results')