Sentimeter is a platform developed with .NET 9 that enables sentiment analysis and visualization on textual data from YouTube videos.
The project was born as a PoC used to study .NET Aspire during the education afternoon in our company.
- Blazor Web App: A modern, interactive user interface for displaying results, managing analyses, and configuring data sources.
- .NET Worker Service: A background service responsible for automatic data processing, sentiment analysis, and integration with external sources.
- .NET Aspire: a set of tools, templates and packages which gives you the ability to orchestrate different services in a distributed application.
- Possibility to add your personal YouTube video registry.
- Automatic retrieval of comments for the registered videos.
- Automatic sentiment analysis on YouTube comments.
- Data visualization of the sentiment analysis results
- Scalable and easily extensible architecture.
- .NET 9
- Blazor
- .NET Worker Service
- C#
- .NET Aspire
- Akka.NET
- Keycloack
- Ollama
- RabbitMQ
- PostgreSQL
Just clone the repository and open with Visual Studio or your favourite IDE and hit F5 (or run dotnet run command from a terminal).
- .NET 9 SDK
- .NET Aspire 9.3
- Docker Desktop
- At least 5GB of RAM in order to download the Ollama images and models
To provide a simple yet powerful tool for monitoring and understanding user sentiment across YouTube videos.
Contributions are always welcome!
Feel free to open issues, fork and submit your PRs if you have any idea or improvement :)