video segments in scoring profiles and text analysis docs

Author: HeidiSteen

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

@@ -4,29 +4,24 @@ titleSuffix: Azure Cognitive Search
 description: Boost search rank scores for Azure Cognitive Search results by adding scoring profiles.
 
 manager: nitinme
-author: Brjohnstmsft
-ms.author: brjohnst
+author: shmed
+ms.author: ramero
 ms.service: cognitive-search
 ms.topic: conceptual
-ms.date: 11/28/2019
-translation.priority.mt:
-  - "de-de"
-  - "es-es"
-  - "fr-fr"
-  - "it-it"
-  - "ja-jp"
-  - "ko-kr"
-  - "pt-br"
-  - "ru-ru"
-  - "zh-cn"
-  - "zh-tw"
+ms.date: 05/06/2020
 ---
 # Add scoring profiles to an Azure Cognitive Search index
 
 *Scoring* computes a search score for each item in a rank ordered result set. Every item in a search result set is assigned a search score, then ranked highest to lowest.
 
  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.  
 
+ The following video snippet explains scoring profiles in Azure Cognitive Search.
+ 
+> [!VIDEO https://www.youtube.com/embed/Y_X6USgvB1g?version=3&start=462&end=970]
+
+## Scoring profile definitions
+
  A scoring profile is part of the index definition, composed of weighted fields, functions, and parameters.  
 
  To give you an idea of what a scoring profile looks like, the following example shows a simple profile named 'geo'. This one boosts items that have the search term in the **hotelName** field. It also uses the `distance` function to favor items that are within ten kilometers of the current location. If someone searches on the term 'inn', and 'inn' happens to be part of the hotel name, documents that include hotels with 'inn' within a 10 KM radius of the current location will appear higher in the search results.  

articles/search/search-analyzers.md

@@ -15,6 +15,10 @@ ms.date: 12/10/2019
 
 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. 
 
+The following video snippet introduces text processing in Azure Cognitive Search.
+
+> [!VIDEO https://www.youtube.com/embed/Y_X6USgvB1g?version=3&start=322&end=189]
+
 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:
 
 + Non-essential words (stopwords) and punctuation are removed.