anotator module

anotator.dataset_NER_prepocess(dataset)

Preprocess a dataset before training NER.

Assuming That a clean dataset of Entities should not contain verbs, adverbs, adjectives and random symbols

Parameters:dataset (list) – list of strings for NER trainging Returns:processed dataset if Sucessful, None otherwise Return type:list

anotator.dataset_to_spacy(db, entity_label)

Bring a dataset to a spacy trainable state

Parameters:

• dataset (list) – list of strings for NER trainging
• entity_label (str) – designated label for the Entity

Returns:

The spacy training ready list if Sucessful, None otherwise

Return type:

list