Article Search Question Tokens Historical Subject Area

Knowledge managers can use the Article Search Question Tokens Historical subject area to report on users' questions and search terms to better understand how customers are finding knowledge base content. You can view search queries in normalized format as well as volume-related information.

Note: Before using this subject area, run the below-mentioned scheduled processes.

• Refresh Denormalized Time Dimension Table for BI
• Knowledge Search Aggregation

The following table lists the dimensions of the Article Search Question Tokens Historical subject area.

Dimension Folder	Dimension	Definition
Article Search Question Tokens Facts	# of Questions Tokens	The number of question tokens.
	# of Concept Tokens	The number of concept tokens.
	# of Unique Normalized Questions	The number of unique normalized questions.
	# of Unique Tokens	The number of unique tokens.
	# of Unique Unknown Tokens	The number of unique tokens.
	Average # of Responses	The average number of responses to a user query.
Normalized Question	Concept Terms	Words that are assigned as concepts.
	Concept Tokens	The tokens associated with a concept. A token is a short, easily managed string including alphanumeric characters, spaces, and punctuation.
	Normalized Question	A question from which the application has removed case distinctions, spelling errors, punctuation, skipped words, and other elements that may differentiate it from otherwise identical questions.
	Normalized Question Locale Code	The locale code for a normalized question.
	Normalized Question Locale Description	The locale name for a normalized question.
	Unknown Terms	Terms not associated with a concept. This dimension uses straight brackets ([]).
	Unknown Tokens	Tokens not associated with a concept. This dimension uses curly brackets ({}).
	Token	The name of the Search token.
	Token Description	The description of the Search token.
Time	Search Stat Calendar Month	The calendar month of the statistics (stat) date. This is the date on which the aggregation job was executed, and ratings and other updates captured.
	Search Stat Calendar Month End Date	The calendar month end date of the statistics (stat) date. This is the date on which the aggregation job was executed, and ratings and other updates captured.
	Search Stat Calendar Quarter	The calendar quarter of the statistics (stat) date. This is the date on which the aggregation job was executed, and ratings and other updates captured.
	Search Stat Calendar Quarter End Date	The calendar quarter end date of the statistics (stat) date. This is the date on which the aggregation job was executed, and ratings and other updates captured.
	Stat Calendar Quarter Start Date	The calendar quarter start date of the statistics (stat) date. This is the date on which the aggregation job was executed, and ratings and other updates captured.
	Search Stat Calendar Year	The calendar year of the statistics (stat) date. This is the date on which the aggregation job was executed, and ratings and other updates captured.
	Search Stat Calendar Year End Date	The calendar year end date of the statistics (stat) date. This is the date on which the aggregation job was executed, and ratings and other updates captured.
	Search Stat Calendar Year Start Date	The calendar year start date of the statistics (stat) date. This is the date on which the aggregation job was executed, and ratings and other updates captured.
	Search Stat Date	The statistics (stat) date. This is the date on which the aggregation job was executed and ratings and other updates captured.
	Search Stat Month	The month of the statistics (stat) date. This is the date on which the aggregation job was executed, and ratings and other updates captured.
	Search Stat Quarter	The quarter of the statistics (stat) date. This is the date on which the aggregation job was executed, and ratings and other updates captured.
	Search Stat Year	The year of the statistics (stat) date. This is the date on which the aggregation job was executed, and ratings and other updates captured.