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articles/search/index-add-scoring-profiles.md

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Azure Cognitive Search uses default scoring to compute an initial score, but you can customize the calculation through a *scoring profile*. Scoring profiles give you greater control over the ranking of items in search results. For example, you might want to boost items based on their revenue potential, promote newer items, or perhaps boost items that have been in inventory too long.
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The following video snippet explains scoring profiles in Azure Cognitive Search.
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The following video segment explains scoring profiles in Azure Cognitive Search.
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> [!VIDEO https://www.youtube.com/embed/Y_X6USgvB1g?version=3&start=462&end=970]
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articles/search/search-analyzers.md

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An *analyzer* is a component of the [full text search engine](search-lucene-query-architecture.md) responsible for processing text in query strings and indexed documents. Different analyzers manipulate text in different ways depending on the scenario. Language analyzers process text using linguistic rules in order to improve search quality, while other analyzers perform more basic tasks like converting characters to lower case, for example.
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The following video snippet introduces text processing in Azure Cognitive Search.
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The following video segment explains text processing in Azure Cognitive Search.
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> [!VIDEO https://www.youtube.com/embed/Y_X6USgvB1g?version=3&start=322&end=189]
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Language analyzers are the most frequently used, and there is default language analyzer assigned to every searchable field in an Azure Cognitive Search index. The following language transformations are typical during text analysis:
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