You are asked to build a conversational chatbot that can -Communicate with the user in natural language.
-Pull out the relevant and detailed information from the conversation.
Which of the listed below is the appropriate choice?
Click on the arrows to vote for the correct answer
A. B. C. D.Correct Answer:A.
Option A is CORRECT.
Cloud-based conversational AI service, LUIS can build natural language in applications and use natural language to communicate with users.
Detailed and relevant information extraction from conversations is a feature of LUIS.
Option B is INCORRECT.
QnA maker is an NLP service that helps find appropriate answers from a knowledge base.
Option C is INCORRECT.
Azure speech services helps us perform the below in a single Azure subscription and does not help us build a conversational bot:
- speech-to-text
- text-to-speech, and
- speech-translation Option D is INCORRECT.
Immersive Reader is a tool that is primarily intended for readers and enthusiasts in language learning by increasing reading accessibility.
Immersive readers cannot be used in the given scenario.
References:
The appropriate choice for building a conversational chatbot that can communicate with the user in natural language and pull out the relevant and detailed information from the conversation is A. LUIS (Language Understanding Intelligent Service) from Microsoft Azure.
LUIS is a machine learning-based service that allows developers to build natural language processing (NLP) capabilities into their applications. With LUIS, developers can create custom models that can understand user intent and extract relevant information from conversations in natural language. LUIS can also integrate with other Azure services, such as the Azure Bot Service, to build more sophisticated chatbots.
QnA Maker is another Microsoft Azure service that can be used to build chatbots. However, it is best suited for building chatbots that can answer specific questions and provide information based on pre-defined knowledge bases. QnA Maker uses machine learning to extract information from a given knowledge base and create a chatbot that can provide answers to users based on their queries.
Azure speech services are designed to enable speech recognition and transcription, text-to-speech, and speaker recognition in applications. While speech services can be used to build chatbots, they are not the ideal choice for building chatbots that can communicate with users in natural language and extract information from conversations.
Immersive Reader is a Microsoft Azure service designed to enhance reading comprehension for users. It is not intended to be used for building chatbots that can communicate with users in natural language and extract information from conversations.
Therefore, A. LUIS is the most appropriate choice for building a conversational chatbot that can communicate with the user in natural language and pull out the relevant and detailed information from the conversation.