AI-900: How to Choose the Right Type of NLP for Your Chatbot

Learn how to choose the right type of natural language processing (NLP) for your chatbot based on the text input of the user. Find out which type of NLP is best for accepting customer orders, retrieving support documents, and retrieving order status updates.

Question

You are building a chatbot that will use natural language processing (NLP) to perform the following actions based on the text input of a user:

• Accept customer orders.
• Retrieve support documents.
• Retrieve order status updates.

Which type of NLP should you use?

A. sentiment analysis
B. translation
C. language modeling
D. named entity recognition

Answer

C. language modeling

Explanation

The correct answer is C. language modeling. Language modeling is a type of NLP that involves predicting the next word or phrase based on the previous words or phrases in a text. Language modeling can be used to generate natural and fluent responses for a chatbot, as well as to understand the user’s intent and entities from their input. Language modeling can enable a chatbot to perform the following actions based on the text input of a user:

• Accept customer orders: A chatbot can use language modeling to generate appropriate prompts and confirmations for the user’s order, such as asking for the product name, quantity, delivery address, payment method, etc. A chatbot can also use language modeling to understand the user’s order details and extract the relevant information, such as the product name, quantity, delivery address, payment method, etc.
• Retrieve support documents: A chatbot can use language modeling to generate relevant queries and responses for the user’s support request, such as asking for the issue description, product model, serial number, etc. A chatbot can also use language modeling to understand the user’s issue description and extract the relevant information, such as the issue category, product model, serial number, etc. A chatbot can then use this information to retrieve the appropriate support document from a knowledge base and display it to the user.
• Retrieve order status updates: A chatbot can use language modeling to generate suitable queries and responses for the user’s order status request, such as asking for the order number, email address, phone number, etc. A chatbot can also use language modeling to understand the user’s order status request and extract the relevant information, such as the order number, email address, phone number, etc. A chatbot can then use this information to retrieve the current order status from a database and display it to the user.

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Microsoft Azure AI Fundamentals AI-900 exam and earn Microsoft Azure AI Fundamentals AI-900 certification.