Parse and extract keywords from texts.
Examples
ds.first_name
), datasets (ds
or ds[["first_name", "last_name"]]
) or models (referenced
by name e.g. "churn-clf"
).
Inputs
infer_language
step.
Ideally, languages should be expressed as two-letter
ISO 639-1 language codes, such as “en”, “es” or “de” for
English, Spanish or German respectively. We also detect fully spelled out names such as “english”, “German”, “allemande”
etc., but it is not guaranteed that we will recognize all possible spellings correctly always, so ISO codes should be
preferred.Alternatively, if all texts are in the same language, it can be identified with the language
parameter instead.Outputs
step(..., {"param": "value", ...}) -> (output)
.
Parameters
Options
lang
column above.Properties
Array items
ADJ
ADP
ADV
AUX
CONJ
CCONJ
DET
INTJ
NOUN
NUM
PART
PRON
PROPN
PUNCT
SCONJ
SYM
VERB
Properties
null
to ignore.Values must be in the following range: