Explain Document pipeline for Portuguese (explain_document_lg)

Description

The explain_document_lg is a pretrained pipeline that we can use to process text with a simple pipeline that performs basic processing steps and recognizes entities . It performs most of the common text processing tasks on your dataframe

Live Demo Open in Colab Download

How to use


from sparknlp.pretrained import PretrainedPipelinein
pipeline = PretrainedPipeline('explain_document_lg', lang = 'pt')
annotations =  pipeline.fullAnnotate(""Olá de John Snow Labs! "")[0]
annotations.keys()


val pipeline = new PretrainedPipeline("explain_document_lg", lang = "pt")
val result = pipeline.fullAnnotate("Olá de John Snow Labs! ")(0)



import nlu
text = [""Olá de John Snow Labs! ""]
result_df = nlu.load('pt.explain.lg').predict(text)
result_df
    

Results

|    | document                    | sentence                   | token                                  | lemma                                  | pos                                         | embeddings                   | ner                                   | entities            |
|---:|:----------------------------|:---------------------------|:---------------------------------------|:---------------------------------------|:--------------------------------------------|:-----------------------------|:--------------------------------------|:--------------------|
|  0 | ['Olá de John Snow Labs! '] | ['Olá de John Snow Labs!'] | ['Olá', 'de', 'John', 'Snow', 'Labs!'] | ['Olá', 'de', 'John', 'Snow', 'Labs!'] | ['PROPN', 'ADP', 'PROPN', 'PROPN', 'PROPN'] | [[0.4388400018215179,.,...]] | ['O', 'O', 'B-PER', 'I-PER', 'I-PER'] | ['John Snow Labs!'] |

Model Information

Model Name: explain_document_lg
Type: pipeline
Compatibility: Spark NLP 3.0.0+
License: Open Source
Edition: Official
Language: pt