Description
This model is a PHS-BERT-based classifier that can classify whether the content of a text expresses emotional stress.
Predicted Entities
no stress, stress
Live Demo Open in Colab Copy S3 URI
How to use
document_assembler = DocumentAssembler() \
.setInputCol("text") \
.setOutputCol("document")
tokenizer = Tokenizer() \
.setInputCols(["document"]) \
.setOutputCol("token")
sequenceClassifier = MedicalBertForSequenceClassification.pretrained("bert_sequence_classifier_stress", "en", "clinical/models")\
.setInputCols(["document","token"])\
.setOutputCol("class")
pipeline = Pipeline(stages=[
document_assembler,
tokenizer,
sequenceClassifier
])
data = spark.createDataFrame([["No place in my city has shelter space for us, and I won't put my baby on the literal street. What cities have good shelter programs for homeless mothers and children?"]]).toDF("text")
result = pipeline.fit(data).transform(data)
val documenter = new DocumentAssembler()
.setInputCol("text")
.setOutputCol("document")
val tokenizer = new Tokenizer()
.setInputCols("sentences")
.setOutputCol("token")
val sequenceClassifier = MedicalBertForSequenceClassification.pretrained("bert_sequence_classifier_stress", "en", "clinical/models")
.setInputCols(Array("document","token"))
.setOutputCol("class")
val pipeline = new Pipeline().setStages(Array(documenter, tokenizer, sequenceClassifier))
val data = Seq("No place in my city has shelter space for us, and I won't put my baby on the literal street. What cities have good shelter programs for homeless mothers and children?")
val result = pipeline.fit(data).transform(data)
import nlu
nlu.load("en.classify.stress").predict("""No place in my city has shelter space for us, and I won't put my baby on the literal street. What cities have good shelter programs for homeless mothers and children?""")
Results
+----------------------------------------------------------------------------------------------------------------------------------------------------------------------+--------+
|text | class|
+----------------------------------------------------------------------------------------------------------------------------------------------------------------------+--------+
|No place in my city has shelter space for us, and I won't put my baby on the literal street. What cities have good shelter programs for homeless mothers and children?|[stress]|
+----------------------------------------------------------------------------------------------------------------------------------------------------------------------+--------+
Model Information
| Model Name: | bert_sequence_classifier_stress |
| Compatibility: | Healthcare NLP 4.0.0+ |
| License: | Licensed |
| Edition: | Official |
| Input Labels: | [document, token] |
| Output Labels: | [class] |
| Language: | en |
| Size: | 1.3 GB |
| Case sensitive: | true |
| Max sentence length: | 128 |
References
Benchmarking
label precision recall f1-score support
no-stress 0.83 0.82 0.83 334
stress 0.85 0.85 0.85 377
accuracy - - 0.84 711
macro-avg 0.84 0.84 0.84 711
weighted-avg 0.84 0.84 0.84 711