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Analyzing Text to Answer Fact-Based Questions: Wolfram U Class

via Wolfram U

Overview

Use built-in Wolfram Language functionality to analyze text and provide the most probable answer to the question asked. Video class introduces artificial intelligence in Wolfram Language like the FindTextualAnswer feature that combines deep learning and natural language processing.

Summary
This video class introduces FindTextualAnswer, the built-in Wolfram Language function that combines well-established techniques for information retrieval with state-of-the-art deep learning techniques to find answers in text. FindTextualAnswer analyzes text and can yield several possible answers, the probabilities of those answers being correct and other properties that can help you understand the context of each answer in response to your specific, fact-based questions. In this class, you will learn the scope of this function and some practical applications, as well as gain insights into how it is implemented and the deep learning approach available in the Wolfram Language.

Featured Products & Technologies: Wolfram Language (available in Mathematica and Wolfram|One)


You'll Learn To

Work with the built-in function FindTextualAnswer and its options
Find answers, probabilities and other text-based properties
Use various text source types and collections for search operations
Visualize search results
Explore the function's underlying deep learning approach

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