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- keyword - How to practially use a keywordanalyzer in azure-search . . .
Let me explain how the analyzer is applied during query processing and how it's applied during document indexing On the indexing side, the analyzer you defined processes elements of the keyWordList collection independently The terms that end up in your inverted index are:
- Analyzers for linguistic and text processing - Azure AI Search
When defining a field, set it's "analyzer" property to one of the following: a built-in analyzer such as keyword, a language analyzer such as en microsoft, or a custom analyzer (defined in the same index schema)
- azure cognitive search - Keyword analyzer for product-codes - Stack . . .
You can use "keyword" in one of your fields and in another one use one with Standard Lucene so your wildcard query works If you search for TTY* if you are using the Standard Lucene analyzer, since it will tokenize as needed, your query should work
- Key Phrase Extraction cognitive skill - Azure AI Search
The Key Phrase Extraction skill evaluates unstructured text, and for each record, returns a list of key phrases This skill uses the Key Phrase machine learning models provided by Azure AI Language This capability is useful if you need to quickly identify the main talking points in the record
- Keyword recognition overview - Speech service - Azure AI services
Keyword recognition detects a word or short phrase within a stream of audio This technique is also referred to as keyword spotting The most common use case of keyword recognition is voice activation of virtual assistants For example, "Hey Cortana" is the keyword for the Cortana assistant
- Add custom analyzers to string fields - Azure AI Search
Use the Keyword analyzer to create searchable fields that aren't analyzed Fast prefix suffix search Add the Edge N-gram token filter to index prefixes of words to enable fast prefix matching
- Azure search - keyword analyzer - Stack Overflow
Given an input string "hello AA BB world", the tokenfilter will analyze it the token sequence <hello> <AA_BB> <world> and search will return documents that match the whole "numbers" (eg AA_BB) Hope this helps Start asking to get answers
- What is the best text analyzer to use on generic data in Azure . . .
If you have generic content and don't want to use linguistic processing, you can use a generic analyzer like the Whitespace analyzer See https: learn microsoft com en-us azure search index-add-custom-analyzers#built-in-analyzers
- What is key phrase extraction in Azure AI Language? - Azure AI services . . .
Key phrase extraction is one of the features offered by Azure AI Language, a collection of machine learning and AI algorithms in the cloud for developing intelligent applications that involve written language Use key phrase extraction to quickly identify the main concepts in text
- Search — Index Custom Analyzer with tokenizer pattern
In conclusion, using “Custom Analyzer” with “Tokenizer” patterns you can get the specified words which marked in your search document These tokens could use as a tag or a key word to search in your document
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