pyflink.dataframe.ai.llm.LLMAccessor.ai_sentiment

LLMAccessor.ai_sentiment(input_col: Union[str, Expression], *, provider: str = None, model: str = None, config: Dict[str, str] = None) → DataFrame

Analyze the sentiment of input text.

Parameters

• input_col – Column name (str) or Expression for the input text.

• provider – Provider name.

• model – Model name.

• config – Optional runtime config.

Returns

• score (DOUBLE): sentiment score from -1.0 to 1.0.

• label (STRING): one of “positive”, “negative”, “neutral”.

• confidence (DOUBLE): confidence score.

Return type

A new DataFrame with columns appended

Example::

>>> df.llm.ai_sentiment("review", model="qwen-plus")