Struct aws_sdk_cloudsearch::types::AnalysisOptions
source · #[non_exhaustive]pub struct AnalysisOptions {
pub synonyms: Option<String>,
pub stopwords: Option<String>,
pub stemming_dictionary: Option<String>,
pub japanese_tokenization_dictionary: Option<String>,
pub algorithmic_stemming: Option<AlgorithmicStemming>,
}
Expand description
Synonyms, stopwords, and stemming options for an analysis scheme. Includes tokenization dictionary for Japanese.
Fields (Non-exhaustive)§
This struct is marked as non-exhaustive
Struct { .. }
syntax; cannot be matched against without a wildcard ..
; and struct update syntax will not work.synonyms: Option<String>
A JSON object that defines synonym groups and aliases. A synonym group is an array of arrays, where each sub-array is a group of terms where each term in the group is considered a synonym of every other term in the group. The aliases value is an object that contains a collection of string:value pairs where the string specifies a term and the array of values specifies each of the aliases for that term. An alias is considered a synonym of the specified term, but the term is not considered a synonym of the alias. For more information about specifying synonyms, see Synonyms in the Amazon CloudSearch Developer Guide.
stopwords: Option<String>
A JSON array of terms to ignore during indexing and searching. For example, \["a", "an", "the", "of"\]
. The stopwords dictionary must explicitly list each word you want to ignore. Wildcards and regular expressions are not supported.
stemming_dictionary: Option<String>
A JSON object that contains a collection of string:value pairs that each map a term to its stem. For example, {"term1": "stem1", "term2": "stem2", "term3": "stem3"}
. The stemming dictionary is applied in addition to any algorithmic stemming. This enables you to override the results of the algorithmic stemming to correct specific cases of overstemming or understemming. The maximum size of a stemming dictionary is 500 KB.
japanese_tokenization_dictionary: Option<String>
A JSON array that contains a collection of terms, tokens, readings and part of speech for Japanese Tokenizaiton. The Japanese tokenization dictionary enables you to override the default tokenization for selected terms. This is only valid for Japanese language fields.
algorithmic_stemming: Option<AlgorithmicStemming>
The level of algorithmic stemming to perform: none
, minimal
, light
, or full
. The available levels vary depending on the language. For more information, see Language Specific Text Processing Settings in the Amazon CloudSearch Developer Guide
Implementations§
source§impl AnalysisOptions
impl AnalysisOptions
sourcepub fn synonyms(&self) -> Option<&str>
pub fn synonyms(&self) -> Option<&str>
A JSON object that defines synonym groups and aliases. A synonym group is an array of arrays, where each sub-array is a group of terms where each term in the group is considered a synonym of every other term in the group. The aliases value is an object that contains a collection of string:value pairs where the string specifies a term and the array of values specifies each of the aliases for that term. An alias is considered a synonym of the specified term, but the term is not considered a synonym of the alias. For more information about specifying synonyms, see Synonyms in the Amazon CloudSearch Developer Guide.
sourcepub fn stopwords(&self) -> Option<&str>
pub fn stopwords(&self) -> Option<&str>
A JSON array of terms to ignore during indexing and searching. For example, \["a", "an", "the", "of"\]
. The stopwords dictionary must explicitly list each word you want to ignore. Wildcards and regular expressions are not supported.
sourcepub fn stemming_dictionary(&self) -> Option<&str>
pub fn stemming_dictionary(&self) -> Option<&str>
A JSON object that contains a collection of string:value pairs that each map a term to its stem. For example, {"term1": "stem1", "term2": "stem2", "term3": "stem3"}
. The stemming dictionary is applied in addition to any algorithmic stemming. This enables you to override the results of the algorithmic stemming to correct specific cases of overstemming or understemming. The maximum size of a stemming dictionary is 500 KB.
sourcepub fn japanese_tokenization_dictionary(&self) -> Option<&str>
pub fn japanese_tokenization_dictionary(&self) -> Option<&str>
A JSON array that contains a collection of terms, tokens, readings and part of speech for Japanese Tokenizaiton. The Japanese tokenization dictionary enables you to override the default tokenization for selected terms. This is only valid for Japanese language fields.
sourcepub fn algorithmic_stemming(&self) -> Option<&AlgorithmicStemming>
pub fn algorithmic_stemming(&self) -> Option<&AlgorithmicStemming>
The level of algorithmic stemming to perform: none
, minimal
, light
, or full
. The available levels vary depending on the language. For more information, see Language Specific Text Processing Settings in the Amazon CloudSearch Developer Guide
source§impl AnalysisOptions
impl AnalysisOptions
sourcepub fn builder() -> AnalysisOptionsBuilder
pub fn builder() -> AnalysisOptionsBuilder
Creates a new builder-style object to manufacture AnalysisOptions
.
Trait Implementations§
source§impl Clone for AnalysisOptions
impl Clone for AnalysisOptions
source§fn clone(&self) -> AnalysisOptions
fn clone(&self) -> AnalysisOptions
1.0.0 · source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
source
. Read moresource§impl Debug for AnalysisOptions
impl Debug for AnalysisOptions
source§impl PartialEq for AnalysisOptions
impl PartialEq for AnalysisOptions
source§fn eq(&self, other: &AnalysisOptions) -> bool
fn eq(&self, other: &AnalysisOptions) -> bool
self
and other
values to be equal, and is used
by ==
.impl StructuralPartialEq for AnalysisOptions
Auto Trait Implementations§
impl Freeze for AnalysisOptions
impl RefUnwindSafe for AnalysisOptions
impl Send for AnalysisOptions
impl Sync for AnalysisOptions
impl Unpin for AnalysisOptions
impl UnwindSafe for AnalysisOptions
Blanket Implementations§
source§impl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere
T: ?Sized,
source§fn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
source§impl<T> Instrument for T
impl<T> Instrument for T
source§fn instrument(self, span: Span) -> Instrumented<Self>
fn instrument(self, span: Span) -> Instrumented<Self>
source§fn in_current_span(self) -> Instrumented<Self>
fn in_current_span(self) -> Instrumented<Self>
source§impl<T> IntoEither for T
impl<T> IntoEither for T
source§fn into_either(self, into_left: bool) -> Either<Self, Self>
fn into_either(self, into_left: bool) -> Either<Self, Self>
self
into a Left
variant of Either<Self, Self>
if into_left
is true
.
Converts self
into a Right
variant of Either<Self, Self>
otherwise. Read moresource§fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
self
into a Left
variant of Either<Self, Self>
if into_left(&self)
returns true
.
Converts self
into a Right
variant of Either<Self, Self>
otherwise. Read more