Which statement is TRUE regarding the document relevancy scores generated in the Topics Node?
A. Relevancy scores enable you to emphasize certain user-specified documents
B. Relevancy scores can be adjusted to increase the relevance of a document
C. Relevancy scores are values between -1 and 1 where values that are closer to absolute 1 imply greater relevance
D. Relevancy scores are normalized values to account for document length
Complete the concept rule below with the rule type used to extract drug dosages.
Enter your answer in the field above
A. 50
Complete the concept rule by adding the Boolean Operator that should be used to find concepts where the term "best" appears within five tokens of the term "picture"
Enter your answer in the field above.
A. DIST_5
You have a very large set of documents you are preparing for SAS Visual Text Analytics Which two actions should you perform during data preparation? (Choose two)
A. Use CHAR data type tor the Text variable with a long length
B. Have enough number of documents for each category label
C. Sample the data first for subsequent interactive model development
D. Keep all the character variables in addition to the Text variable
Refer to the exhibit.
Which pooling summary operation and minimum square filter size (with stride of four) would generate the output feature map1?
A. 1, 1
Which document structures are NOT identifiable using LITI rules'?
A. sentences
B. pages
C. words
D. paragraphs
Refer to the exhibit.
How many output feature maps would be created by a convolutional layer with four filters applied to a three channel input?
Enter your numeric answer in the space above.
A. 12
Which node does not produce score code?
A. Concepts
B. Text Parsing
C. Topics
D. Sentiment
Which statement is TRUE regarding topic creation in the Topics node1?
A. Topics Map can be used to explore the topic and terms associations
B. Term density can be adjusted using a sliding bar in the Term Cloud panel
C. Custom topics can be generated using user-specified terms
D. Exact document density threshold value can be supplied in the Edit Topics Properties window
An analyst wants to identify terms that might be used as keywords to search a document collection looking for consumer comments related to price Using which SAS Visual Text Analytics node and feature would be most efficient for this business need?
A. The "create rule from selected elements" feature for the term price in the Textual Elements pane of the Categories node
B. The "matched documents" feature for a custom PRICE concept in the Concepts node
C. The term table for a derived PRICE topic in the Topics node
D. The "show similarity scores" feature for the term price in the Kept Terms pane of the Text Parsing node
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