In SAS Viya Visual Text Analytics, what is the primary role of concept extraction?
Select an answer to reveal the explanation.
Short Explanation
Here's the deal — concept extraction pulls out predefined meaningful entities, like people, organizations, products, and topics, from unstructured text using linguistic rules or models. You're not translating, vectorizing, or summarizing here.
Full Explanation
Concept extraction in SAS Viya Visual Text Analytics identifies and extracts predefined meaningful entities, such as people, organizations, products, and topics, from unstructured text using linguistic rules, ontologies, or statistical models. Translating documents before processing is a separate language-processing task. Converting text to numerical TF-IDF vectors describes feature engineering, not concept extraction. Summarizing documents into a fixed-length abstract describes text summarization, a separate NLP task.