Azure Chatbot Integration: Services for Grammar and Spelling Correction and Knowledge Database Utilization

Azure Chatbot Integration: Services

Question

You want to ensure that your chatbot can respond to user queries in situations where there is a grammar or spelling mistake.

You also want to utilize the existing knowledge database to answer user queries through your chatbot.

Based on the user intention, you can get an answer to the user query by finding a suitable answer from your knowledge database.

Given the scenario above, which Azure services would you integrate into your chatbot?

Answers

Explanations

Click on the arrows to vote for the correct answer

A. B. C. D. E.

Correct Answers: B and E.

Option A is incorrect because the requirement is not to translate the text received from the user input.

Option B is correct because QnA Maker would provide answers to queries based on the custom knowledge base.

Option C is incorrect because the requirement is not to mine the text or analyze the sentiment.

Option D is incorrect because speech service is aimed at converting text to speech or speech to text.

In this scenario, speech service is not required.

Option E is correct because LUIS or language understanding would understand the intent of the user and will provide location in the knowledge base that QnA make will utilize to answer user queries.

Reference:

To learn more about using QnA Maker and LUIS in chatbot, use the link given below:

Based on the scenario described, the following Azure services can be integrated into the chatbot:

  1. QnA Maker - QnA Maker is an Azure Cognitive Service that can help in extracting questions and answers from structured and unstructured content such as FAQs, manuals, and websites. It is also capable of handling variations in the way a user may phrase a question, which can help in responding to queries with spelling or grammar mistakes.

  2. Text Analytics - Text Analytics is an Azure Cognitive Service that can analyze text to extract insights such as sentiment analysis, key phrases, and entities. It can be used to improve the chatbot's understanding of user queries and help it identify the user's intention, even if there are spelling or grammar mistakes.

  3. LUIS - Language Understanding Intelligent Service (LUIS) is an Azure Cognitive Service that can help in understanding natural language input. LUIS can help in identifying the intent behind a user's query and can assist in selecting the appropriate response from the knowledge database.

Therefore, the Azure services that can be integrated into the chatbot to ensure that it can respond to user queries in situations where there is a grammar or spelling mistake, and to utilize the existing knowledge database to answer user queries based on their intention are QnA Maker, Text Analytics, and LUIS. Translator and Speech services may not be as relevant in this particular scenario.