Final edits for scoring profile doc

Author: HeidiSteen

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

@@ -205,7 +205,7 @@ Use functions when simple relative weights are insufficient or don't apply, as i
 | "freshness" | Boosts by values in a datetime field (`Edm.DateTimeOffset`). This function has a "boostingDuration" attribute so that you can specify a value representing a timespan over which boosting occurs. | 
 | "magnitude" | Boosts based on how high or low a numeric value is. Scenarios that call for this function include boosting by profit margin, highest price, lowest price, or a count of downloads. This function can only be used with `Edm.Double` and `Edm.Int` fields. For the magnitude function, you can reverse the range, high to low, if you want the inverse pattern (for example, to boost lower-priced items more than higher-priced items). Given a range of prices from $100 to $1, you would set "boostingRangeStart" at 100 and "boostingRangeEnd" at 1 to boost the lower-priced items. | 
 | "distance"  | Boosts by proximity or geographic location. This function can only be used with `Edm.GeographyPoint` fields. | 
-| "tag"  | Boosts by tags that are common to both search documents and query strings. Tags are provided in a "tagsParameter". This function can only be used with `Edm.String` and `Collection(Edm.String)` fields. | 
+| "tag"  | Boosts by tags that are common to both search documents and query strings. Tags are provided in a "tagsParameter". This function can only be used with search fields of type `Edm.String` and `Collection(Edm.String)`. | 
 
 ### Rules for using functions
 
@@ -292,7 +292,7 @@ Use functions when simple relative weights are insufficient or don't apply, as i
 |functions >  distance > referencePointParameter | A parameter to be passed in queries to use as reference location (using the scoringParameter query parameter). |  
 | functions > distance > boostingDistance | A number that indicates the distance in kilometers from the reference location where the boosting range ends.|  
 | functions > tag | The tag scoring function is used to affect the score of documents based on tags in documents and search queries. Documents that have tags in common with the search query will be boosted. The tags for the search query are provided as a scoring parameter in each search request (using the scoringParameter query parameter). |  
-| functions > tag > tagsParameter | A parameter to be passed in queries to specify tags for a particular request (using the scoringParameter query parameter). The parameter consists of a comma-delimited list of whole terms. If a given tag within the list is itself a comma-delimited list, you can [use a text normalizer](search-normalizers.md) on the field to strip out the commas at query time (map the comma character to a space). This approach will "flatten" the list so that all terms are a single string. |  
+| functions > tag > tagsParameter | A parameter to be passed in queries to specify tags for a particular request (using the scoringParameter query parameter). The parameter consists of a comma-delimited list of whole terms. If a given tag within the list is itself a comma-delimited list, you can [use a text normalizer](search-normalizers.md) on the field to strip out the commas at query time (map the comma character to a space). This approach will "flatten" the list so that all terms are a single, long string of comma-delimited terms. |  
 | functions > functionAggregation | Optional. Applies only when functions are specified. Valid values include: sum (default), average, minimum, maximum, and firstMatching. A search score is single value that is computed from multiple variables, including multiple functions. This attribute indicates how the boosts of all the functions are combined into a single aggregate boost that then is applied to the base document score. The base score is based on the [tf-idf](http://www.tfidf.com/) value computed from the document and the search query.|  
 | defaultScoringProfile | When executing a search request, if no scoring profile is specified, then default scoring is used ([tf-idf](http://www.tfidf.com/) only). </br></br>You can override the built-in default, substituting a custom profile as the one to use when no specific profile is given in the search request.|