Description
The movies_sentiment_analysis is a pretrained pipeline that we can use to process text with a simple pipeline that performs basic processing steps and predicts sentiment . It performs most of the common text processing tasks on your dataframe
Predicted Entities
How to use
from sparknlp.pretrained import PretrainedPipeline
pipeline = PretrainedPipeline("movies_sentiment_analysis", "en")
result = pipeline.annotate("""I love johnsnowlabs! """)
Model Information
| Model Name: | movies_sentiment_analysis |
| Type: | pipeline |
| Compatibility: | Spark NLP 4.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 207.2 MB |
Included Models
- DocumentAssembler
- SentenceDetector
- TokenizerModel
- SymmetricDeleteModel
- SentimentDetectorModel