Description
This pretrained pipeline identifies the sentiments (positive or negative) in Spanish texts.
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How to use
pipeline = PretrainedPipeline("classifierdl_bert_sentiment_pipeline", lang = "es")
result1 = pipeline.annotate("Estoy seguro de que esta vez pasará la entrevista.")
result2 = pipeline.annotate("Soy una persona que intenta desayunar todas las mañanas sin falta.")
result3 = pipeline.annotate("No estoy seguro de si mi salario mensual es suficiente para vivir.")
Results
['POSITIVE']
['NEUTRAL']
['NEGATIVE']
Model Information
| Model Name: | classifierdl_bert_sentiment_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 3.3.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | es |
Included Models
- DocumentAssembler
- BertSentenceEmbeddings
- ClassifierDLModel