extract_keyword_mapper

Generate keywords for the text.

This operator uses a specified API model to generate high-level keywords that summarize the main concepts, themes, or topics of the input text. The generated keywords are stored in the meta field under the key specified by keyword_key. The operator retries the API call up to try_num times in case of errors. If drop_text is set to True, the original text is removed from the sample after processing. The operator uses a default prompt template and completion delimiter, which can be customized. The output is parsed using a regular expression to extract the keywords.

为文本生成关键词。

此算子使用指定的 API 模型生成高层次的关键词，这些关键词总结了输入文本的主要概念、主题或话题。生成的关键词存储在 meta 字段中，键名为 keyword_key。如果出现错误，该算子将重试 API 调用最多 try_num 次。如果 drop_text 设置为 True，则在处理后从样本中删除原始文本。该算子使用默认的提示模板和完成分隔符，这些可以自定义。输出通过正则表达式解析以提取关键词。

Type 算子类型: mapper

Tags 标签: cpu, api, text

🔧 Parameter Configuration 参数配置

name 参数名

type 类型

default 默认值

desc 说明

api_model

<class 'str'>

'gpt-4o'

API model name.

keyword_key

<class 'str'>

'keyword'

The key name to store the keywords in the meta

api_endpoint

typing.Optional[str]

None

URL endpoint for the API.

response_path

typing.Optional[str]

None

Path to extract content from the API response.

prompt_template

typing.Optional[str]

None

The template of input prompt.

completion_delimiter

typing.Optional[str]

None

To mark the end of the output.

output_pattern

typing.Optional[str]

None

Regular expression for parsing keywords.

try_num

typing.Annotated[int, Gt(gt=0)]

3

The number of retry attempts when there is an API

drop_text

<class 'bool'>

False

If drop the text in the output.

model_params

typing.Dict

{}

Parameters for initializing the API model.

sampling_params

typing.Dict

{}

Extra parameters passed to the API call.

kwargs

''

Extra keyword arguments.

📊 Effect demonstration 效果演示

not available 暂无