How does Natural Language Understanding (NLU) work?
• by taking social media data and analyzing it to make predictions
• by identifying a user by recording and analyzing their speech patterns
• by enabling image processing, speech recognition, and complex game play
Answers
Your Answer is C) by enabling image processing, speech recognition, and Complex game play
Answer:
The correct answer is:
Natural Language Understanding (NLU) works -
c) by enabling image processing, speech recognition, and complex game play
Explanation:
NLU is a branch of natural language processing (NLP), which helps computers understand and interpret human language by breaking down the building blocks of speech. While speech recognition captures spoken language in real-time, transcribes it, and returns text, NLU goes beyond recognition to determine user intent.
Applications where NLU is used:
a) IVR and Message Routing: Turn nested phone trees into simple "what can I do for you" voice prompts. Analyze the answer to "How can I help you?" and determine the best way to route calls.
b) Data Capture: Automate data collection to improve lead quality, assist with reporting, and find new business opportunities. For example, ask customers questions and capture their answers using Access Service Requests (ASRs) to fill out forms and qualify leads.
c) Conversational Interfaces: Create fully integrated bots, trained in the context of your business, with the intelligence to understand human language and help customers without human supervision. For example, allowing customers to connect to the knowledge base and get the answers they need.
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