Discover the optimal document processing service for your website’s chatbot. Dive into options like Azure Bot Service, Language Understanding, Text Analytics, and QnA Maker to elevate user experience. Learn how these services leverage product troubleshooting guides and FAQs for efficient and accurate responses.
Table of Contents
Question
You need to develop a chatbot for a website. The chatbot must answer users’ questions based on the information in the following documents:
A product troubleshooting guide in a Microsoft Word document A frequently asked questions (FAQ) list on a webpage
Which service should you use to process the documents?
A. Azure Bot Service
B. Language Understanding
C. Text Analytics
D. QnA Maker
Answer
D. QnA Maker
Explanation
The correct answer is D. QnA Maker.
QnA Maker is a cloud-based service that lets you create a natural conversational layer over your existing data, such as product manuals, FAQ pages, or support documents. You can use QnA Maker to process the documents and extract relevant question-answer pairs from them. Then, you can use Azure Bot Service to create a chatbot that uses the QnA Maker knowledge base to answer users’ questions.
Azure Bot Service is a platform for building, testing, deploying, and managing intelligent bots. It provides various templates and tools to help you create different types of bots, such as web chat, speech, or telephony bots. However, Azure Bot Service does not process the documents or generate the question-answer pairs. It relies on other services, such as QnA Maker or Language Understanding, to provide the natural language understanding and dialog capabilities for the chatbot.
Language Understanding is a service that enables you to build custom natural language models that can understand the user’s intent and extract relevant information from their utterances. You can use Language Understanding to create more complex and dynamic chatbots that can handle multiple scenarios and dialogs. However, Language Understanding does not process the documents or generate the question-answer pairs. It requires you to define the intents, entities, and utterances manually or programmatically.
Text Analytics is a service that provides advanced natural language processing capabilities, such as sentiment analysis, key phrase extraction, named entity recognition, and language detection. You can use Text Analytics to analyze the user’s feedback, identify the main topics or entities in their questions, or detect the language they are using. However, Text Analytics does not process the documents or generate the question-answer pairs. It only provides information about the text, not the answers.
Reference
Microsoft Learn > Azure > Cognitive Services > QnA Maker > What is QnA Maker?
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