Simple analyzer
editSimple analyzer
editThe simple
analyzer breaks text into tokens at any non-letter character, such
as numbers, spaces, hyphens and apostrophes, discards non-letter characters,
and changes uppercase to lowercase.
Example
editresp = client.indices.analyze( analyzer="simple", text="The 2 QUICK Brown-Foxes jumped over the lazy dog's bone.", ) print(resp)
response = client.indices.analyze( body: { analyzer: 'simple', text: "The 2 QUICK Brown-Foxes jumped over the lazy dog's bone." } ) puts response
const response = await client.indices.analyze({ analyzer: "simple", text: "The 2 QUICK Brown-Foxes jumped over the lazy dog's bone.", }); console.log(response);
POST _analyze { "analyzer": "simple", "text": "The 2 QUICK Brown-Foxes jumped over the lazy dog's bone." }
The simple
analyzer parses the sentence and produces the following
tokens:
[ the, quick, brown, foxes, jumped, over, the, lazy, dog, s, bone ]
Customize
editTo customize the simple
analyzer, duplicate it to create the basis for
a custom analyzer. This custom analyzer can be modified as required, usually by
adding token filters.
resp = client.indices.create( index="my-index-000001", settings={ "analysis": { "analyzer": { "my_custom_simple_analyzer": { "tokenizer": "lowercase", "filter": [] } } } }, ) print(resp)
response = client.indices.create( index: 'my-index-000001', body: { settings: { analysis: { analyzer: { my_custom_simple_analyzer: { tokenizer: 'lowercase', filter: [] } } } } } ) puts response
const response = await client.indices.create({ index: "my-index-000001", settings: { analysis: { analyzer: { my_custom_simple_analyzer: { tokenizer: "lowercase", filter: [], }, }, }, }, }); console.log(response);