AnalyzeTextOptions Class

Return a dict that can be turned into json using json.dump.

as_dict(*, exclude_readonly: bool = False) -> dict[str, Any]

Keyword-Only Parameters

Returns

Remove all items from D.

clear() -> None

copy() -> Model

Get the value for key if key is in the dictionary, else default. :param str key: The key to look up. :param any default: The value to return if key is not in the dictionary. Defaults to None :returns: D[k] if k in D, else d. :rtype: any

get(key: str, default: Any = None) -> Any

Parameters

items() -> ItemsView[str, Any]

Returns

keys() -> KeysView[str]

Returns

Removes specified key and return the corresponding value. :param str key: The key to pop. :param any default: The value to return if key is not in the dictionary :returns: The value corresponding to the key. :rtype: any :raises KeyError: If key is not found and default is not given.

pop(key: str, default: ~typing.Any = <object object>) -> Any

Parameters

Removes and returns some (key, value) pair :returns: The (key, value) pair. :rtype: tuple :raises KeyError: if D is empty.

popitem() -> tuple[str, Any]

Same as calling D.get(k, d), and setting D[k]=d if k not found :param str key: The key to look up. :param any default: The value to set if key is not in the dictionary :returns: D[k] if k in D, else d. :rtype: any

setdefault(key: str, default: ~typing.Any = <object object>) -> Any

Parameters

Updates D from mapping/iterable E and F. :param any args: Either a mapping object or an iterable of key-value pairs.

update(*args: Any, **kwargs: Any) -> None

values() -> ValuesView[Any]

Returns

The name of the analyzer to use to break the given text. If this parameter is not specified, you must specify a tokenizer instead. The tokenizer and analyzer parameters are mutually exclusive. Known values are: "ar.microsoft", "ar.lucene", "hy.lucene", "bn.microsoft", "eu.lucene", "bg.microsoft", "bg.lucene", "ca.microsoft", "ca.lucene", "zh-Hans.microsoft", "zh-Hans.lucene", "zh-Hant.microsoft", "zh-Hant.lucene", "hr.microsoft", "cs.microsoft", "cs.lucene", "da.microsoft", "da.lucene", "nl.microsoft", "nl.lucene", "en.microsoft", "en.lucene", "et.microsoft", "fi.microsoft", "fi.lucene", "fr.microsoft", "fr.lucene", "gl.lucene", "de.microsoft", "de.lucene", "el.microsoft", "el.lucene", "gu.microsoft", "he.microsoft", "hi.microsoft", "hi.lucene", "hu.microsoft", "hu.lucene", "is.microsoft", "id.microsoft", "id.lucene", "ga.lucene", "it.microsoft", "it.lucene", "ja.microsoft", "ja.lucene", "kn.microsoft", "ko.microsoft", "ko.lucene", "lv.microsoft", "lv.lucene", "lt.microsoft", "ml.microsoft", "ms.microsoft", "mr.microsoft", "nb.microsoft", "no.lucene", "fa.lucene", "pl.microsoft", "pl.lucene", "pt-BR.microsoft", "pt-BR.lucene", "pt-PT.microsoft", "pt-PT.lucene", "pa.microsoft", "ro.microsoft", "ro.lucene", "ru.microsoft", "ru.lucene", "sr-cyrillic.microsoft", "sr-latin.microsoft", "sk.microsoft", "sl.microsoft", "es.microsoft", "es.lucene", "sv.microsoft", "sv.lucene", "ta.microsoft", "te.microsoft", "th.microsoft", "th.lucene", "tr.microsoft", "tr.lucene", "uk.microsoft", "ur.microsoft", "vi.microsoft", "standard.lucene", "standardasciifolding.lucene", "keyword", "pattern", "simple", "stop", and "whitespace".

analyzer_name: str | _models.LexicalAnalyzerName | None

An optional list of character filters to use when breaking the given text. This parameter can only be set when using the tokenizer parameter.

char_filters: list[typing.Union[str, ForwardRef('_models.CharFilterName')]] | None

The name of the normalizer to use to normalize the given text. Known values are: "asciifolding", "elision", "lowercase", "standard", and "uppercase".

normalizer_name: str | _models.LexicalNormalizerName | None

The text to break into tokens. Required.

text: str

An optional list of token filters to use when breaking the given text. This parameter can only be set when using the tokenizer parameter.

token_filters: list[typing.Union[str, ForwardRef('_models.TokenFilterName')]] | None

The name of the tokenizer to use to break the given text. If this parameter is not specified, you must specify an analyzer instead. The tokenizer and analyzer parameters are mutually exclusive. Known values are: "classic", "edgeNGram", "keyword_v2", "letter", "lowercase", "microsoft_language_tokenizer", "microsoft_language_stemming_tokenizer", "nGram", "path_hierarchy_v2", "pattern", "standard_v2", "uax_url_email", and "whitespace".

tokenizer_name: str | _models.LexicalTokenizerName | None