Description
This pretrained pipeline identifies the sentiments (positive or negative) in French texts.
Predicted Entities
Live Demo Open in Colab Download Copy S3 URI
How to use
pipeline = PretrainedPipeline("classifierdl_bert_sentiment_pipeline", lang = "fr")
result = pipeline.annotate("Mignolet vraiment dommage de ne jamais le voir comme titulaire")
val pipeline = new PretrainedPipeline("classifierdl_bert_sentiment_pipeline", lang = "fr")
val result = pipeline.fullAnnotate("Mignolet vraiment dommage de ne jamais le voir comme titulaire")(0)
Results
['NEGATIVE']
Model Information
| Model Name: | classifierdl_bert_sentiment_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 4.3.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | fr |
| Size: | 3.6 GB |
Included Models
- DocumentAssembler
- BertSentenceEmbeddings
- ClassifierDLModel