Description
This pre-trained pipeline Identifies whether a Turkish text contains cyberbullying or not.
Predicted Entities
How to use
pipeline = PretrainedPipeline("classifierdl_berturk_cyberbullying_pipeline", "tr")
result = pipeline.fullAnnotate("""Gidişin olsun, dönüşün olmasın inşallah senin..""")
val pipeline = new PretrainedPipeline("classifierdl_berturk_cyberbulling_pipeline", "tr")
val result = pipeline.fullAnnotate("Gidişin olsun, dönüşün olmasın inşallah senin..")(0)
Results
["Negative"]
Model Information
| Model Name: | classifierdl_berturk_cyberbullying_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 4.3.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | tr |
| Size: | 454.6 MB |
Included Models
- DocumentAssembler
- TokenizerModel
- NormalizerModel
- StopWordsCleaner
- LemmatizerModel
- BertEmbeddings
- SentenceEmbeddings
- ClassifierDLModel