title | hide_title | status |
---|---|---|
Quickstart - Analyze Text |
true |
stable |
from synapse.ml.core.platform import find_secret
cognitive_key = find_secret("cognitive-api-key")
cognitive_location = "eastus"
df = spark.createDataFrame(
data=[
["en", "Hello Seattle"],
["en", "There once was a dog who lived in London and thought she was a human"],
],
schema=["language", "text"],
)
display(df)
from synapse.ml.cognitive import *
text_analyze = (
TextAnalyze()
.setLocation(cognitive_location)
.setSubscriptionKey(cognitive_key)
.setTextCol("text")
.setOutputCol("textAnalysis")
.setErrorCol("error")
.setLanguageCol("language")
.setEntityRecognitionParams(
{"model-version": "latest"}
) # Can pass parameters to each model individually
.setIncludePii(False) # Users can manually exclude tasks to speed up analysis
.setIncludeEntityLinking(False)
.setIncludeSentimentAnalysis(False)
)
df_results = text_analyze.transform(df)
display(df_results)