CSharp-Coder

Learn natural language processing in C# with ML.NET — sentiment analysis, text classification, BERT and tokenizers. Copy the runnable code and ship today. If you have ever been told that serious machine learning only happens in Python, this guide is the counter-argument. Natural language processing in C# is a first-class scenario thanks to ML.NET, Microsoft's open-source ML framework that runs natively on .NET 8 and .NET 9. You can train a sentiment classifier, ship a multiclass support-ticket router, or run a BERT-family transformer — all inside the same solution as your ASP.NET Core API, with no Python runtime, no interop bridge, and no separate deployment pipeline. This complete guide walks through classical text featurization, deep-learning text classification, tokenization, embeddings, and the production pitfalls that bite teams six months in. Every code sample is runnable. Why Do NLP in C# Instead of Python? The honest answer: sometimes you shouldn't. If you ne...