arafattehsin/SentimentAnalyzer
Fully offline sentiment analysis for .NET with multiple AI engines. Supports 104 languages with privacy-first, on-device processing. Works with .NET 8/10, MAUI, and Blazor.
This tool helps developers integrate sentiment analysis directly into their .NET applications, allowing them to understand the emotional tone of text. It takes text input, such as customer reviews or social media comments, and outputs whether the sentiment is positive, negative, or neutral, along with a confidence score. This is ideal for developers building cross-platform applications where privacy and offline functionality are important.
Use this if you are a .NET developer building an application that needs to perform sentiment analysis directly on the user's device, without sending data to external servers or requiring an internet connection.
Not ideal if you need to perform sentiment analysis in a web browser using Blazor WebAssembly with the higher-accuracy or multilingual models, as these require native C++ libraries.
Stars
18
Forks
2
Language
C#
License
MIT
Category
Last pushed
Jan 27, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/arafattehsin/SentimentAnalyzer"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
dotnet/machinelearning
ML.NET is an open source and cross-platform machine learning framework for .NET.
dotnet/machinelearning-samples
Samples for ML.NET, an open source and cross-platform machine learning framework for .NET.
tghamm/Mistral.SDK
An unofficial C#/.NET SDK for accessing the Mistral AI API
bartczernicki/MachineLearning-BaseballPrediction-BlazorApp
Machine Learning over historical baseball data using latest Microsoft AI & Development...
jonathanpeppers/inclusive-code-reviews-ml
Machine learning for code reviews!