NLP

Azure AI Language offers many text analytics capabilities, but their newer APIs make it possible to perform multiple natural language processing (NLP) tasks on many documents using one API call.

Let’s take a look at how ML.NET 2.0’s new Text Transformer features can be used to perform multi-class classification and map utterances to intents.

Let’s take a broad examination of the various layers of a conversational AI solution and explore the development, testing, and ethical concerns associated with these projects.

Quickenshtein reduces the barriers to entry in getting started with Levenshtein distance by providing an intuitive, efficient, and fast open source .NET library.

Text to speech lets us build immersive applications that speak to the user using natural-sounding voices in a wide variety of languages and regions. Let’s see how it works with some simple C# code.