extract_text_features
Parse and process texts to extract multiple features at once.
Essentially combines all of the following steps into one:
embed_text
extract_emoji
extract_entities
extract_hashtags
extract_keywords
extract_mentions
infer_sentiment
tokenize
Note that the step does not currently allow for detailed configuration of each of the extracted features. To do that, use any or all of the individual steps above.
Usage
The following shows how the step can be used in a recipe.
General syntax for using the step in a recipe. Shows the inputs and outputs the step is expected to receive and will produce respectively. For futher details see sections below.
General syntax for using the step in a recipe. Shows the inputs and outputs the step is expected to receive and will produce respectively. For futher details see sections below.
Inputs & Outputs
The following are the inputs expected by the step and the outputs it produces. These are generally
columns (ds.first_name
), datasets (ds
or ds[["first_name", "last_name"]]
) or models (referenced
by name e.g. "churn-clf"
).
Configuration
The following parameters can be used to configure the behaviour of the step by including them in
a json object as the last “input” to the step, i.e. step(..., {"param": "value", ...}) -> (output)
.
This step doesn’t expect any specific parameters.
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