Description
This pretrained pipeline identifies the sentiments (positive, negative or neutral) in financial news.
How to use
from sparknlp.pretrained import PretrainedPipeline
pipeline = PretrainedPipeline("classifierdl_bertwiki_finance_sentiment_pipeline", "en")
result = pipeline.annotate("""I love johnsnowlabs! """)
Model Information
| Model Name: | classifierdl_bertwiki_finance_sentiment_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 4.3.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 432.9 MB |
Included Models
- DocumentAssembler
- BertSentenceEmbeddings
- ClassifierDLModel