Chatbot using Azure Language Service

What are the benefits of using Azure Language Service for building a chatbot?

• Pre-built functionalities: Azure Language Service offers pre-built features like custom question answering, eliminating the need for extensive custom coding.
• Easy knowledge base management: You can easily add, edit, and manage your chatbot’s knowledge base through Azure Language Studio’s user-friendly interface.
• Scalability: Azure Language Service scales with your needs, allowing you to handle increasing user interactions without performance issues.
• Integration with various platforms: The chatbots built with Azure Language Service can be integrated with various messaging platforms like Microsoft Teams, providing flexibility for user interaction.

What type of data can be used for the chatbot’s knowledge base?

The knowledge base can include various textual data sources such as:

• Text files: You can upload pre-defined lists of questions and corresponding answers in text files.
• Webpage URLs: Azure Language Service can extract relevant information from webpages to populate your knowledge base.
• Chitchat: The service offers pre-built “chitchat” functionality for casual conversation starters and responses.

In our daily lives, we use many kinds of embedded services within web applications such as chatbots. Embedded chatbots are widely used in web and mobile applications. There are many languages present in the market that support chatbot building, but this article, lets us understand how to build a chatbot using Azure language service. Before actually diving into the overview of Azure language service, let us understand Azure cognitive services.